progress in heural information processing · improving long term time series prediction using a...

12
Progress in Heural Information Processing Proceedings of the International Conference on Neural Information Processing Hong Kong, September 24-27,1996 Editors: Shun-ichi Amari, Lei Xu, Lai-Wan Chan, Irwin King and Kwong-Sak Leung Volume 2 Springer

Upload: others

Post on 10-Jan-2020

0 views

Category:

Documents


0 download

TRANSCRIPT

Page 1: Progress in Heural Information Processing · Improving Long Term Time Series Prediction Using A Modified Influence ... A Neuro-Evolutionary Framework for Fuzzy Soft-Constraint Optimisation:

Progress inHeural Information ProcessingProceedings of the International Conference on Neural Information Processing

Hong Kong, September 24-27,1996

Editors: Shun-ichi Amari, Lei Xu, Lai-Wan Chan, Irwin King and Kwong-Sak Leung

Volume 2

Springer

Page 2: Progress in Heural Information Processing · Improving Long Term Time Series Prediction Using A Modified Influence ... A Neuro-Evolutionary Framework for Fuzzy Soft-Constraint Optimisation:

ICONIP '96 - Hong Kong xxi

Contents, Volume 2

Financial Engineering and Time Series Forecasting (Oral Presentation) 679

Biasing Towards Integer Solutions (Invited talk) 681A-P. N. Refenes and J. T. Connor (London Business School)

Modeling of Scholastic Aptitude Tests (Invited talk) 689A.S. Weigend, C. Perlich and M. Brehler (University of Colorado)

What Is the "True Price"? - State Space Models for High Frequency Financial Data(Invited talk) 697J. Moody and L.Z. Wu (Oregon Graduate Institute)

Experiments in Bond Rating with Probabilistic Neural Networks 705A.J. Surkan and A.N. Skurikhin (University of Nebraska)

Application of Rival Penalized Competitive Learning on Capital Market Prediction:Adaptive RPCL-CLP and RPCL-ART 710W.M. Leung, Y.M. Cheung and H.Z.H. Lai (The Chinese University of Hong Kong)

Portfolio Selection with Self-Organizing Maps 716C.F. Lee and W.P. Tai (National Taiwan University)

"Clearning Neural Networks with Continuity Constraint for Prediction of Noisy Time Series 722B. Tang, W. Hsieh and F. Tangang (University of British Columbia)

I m p r o v i n g L o n g T e r m T i m e S e r i e s P r e d i c t i o n U s i n g A M o d i f i e d I n f l u e n c e F u n c t i o n . . . . 7 2 6L.H. Chen and P.B. Tan (Nanyang Technological University)

Study on Flood/Drought Predicting Through Neuron Network Method Composed ofTime-Series Continuation and Related External Variables 732L. Jin and Y. Lou (Jiangsu Meteorological Institute)

Non-Linear Time Series Prediction Using and Optimum Neural Network Architecture . . . 737L. Li and J. T. Eriksson (Tampere University of Technology)

Modeling for Nonlinear Time Series Based on Dynamic Neural Network and Inverse System 742Z.X. Qin, H.Y. Zhang, C.W. Chan and K.C. Cheung(Beijing University Aeronautics and Astronautics)

A Neuro-Evolutionary Framework for Fuzzy Soft-Constraint Optimisation:An FX/Futures Trading Portfolio Application 747

Page 3: Progress in Heural Information Processing · Improving Long Term Time Series Prediction Using A Modified Influence ... A Neuro-Evolutionary Framework for Fuzzy Soft-Constraint Optimisation:

XXIIICONIP '96 - Hong Kong

P. Nacaskul (Imperial College of Science, Technology & Medicine)

Foreign Exchange Rates Forecasting with Neural Networks 754J.T. Yao, H.L. Poh and T. Jasic (National University of Singapore)

Option Pricing with Neural Networks 760M. Liu (The Chinese University of Hong Kong)

A Genetic-Based Approach for the Derivation of Trading Strategies onthe German Stock Market 766A. Frick, R. Herrmann, M. Kreidler, A. Narr and D. Seese (University of Karlsruhe)

An Improved Time Series Prediction by Applying the Layer-by-Layer Learning Methodto FIR Neural Networks 771H. Y. Yu and S. Y. Bang (Pohang University of Science and Technology)

Canonical Momenta Indicators of Financial Markets and Neocortical EEG(Invited talk) 777L. Ingber (Lester Ingber Research)

Financial Engineering and Time Series Forecasting (Poster Presentation) 785

A Case Study for Hong Kong Weather Forecasting 787J. Liu and L. Wong (Hong Kong Polytechnic University)

An Alternative Choice of Output in Neural Network for the Generation ofTrading Signals in A Financial Market 793K. C. Lam and K. Lam (The University of Hong Kong)

Time Series Prediction with Hierarchical Radial Basis Function 799T. Frohlinghaus and K. Y. Szeto (Hong Kong University of Sciences and Technology)

Evolutionary Computing (Oral Presentation) 803

A Genetic Approach to Video Indexing 805C.L. Chow, A. Si, R. W.H. Lau and H. V. Leong (The Hong Kong Polytechnic University)

F e a t u r e S e l e c t i o n i n A u t o m a t i c S i g n a t u r e V e r i f i c a t i o n B a s e d o n G e n e t i c A l g o r i t h m s . . . . 8 1 1G.S.K. Fung, J.N.K. Liu and R.W.H. Lau (The Hong Kong Polytechnic University)

Gene-Exchange-Based Autonomous Dynamic Load Balancing Model 816T. Ohira, R. Sawatari and M. Tokoro (Sony Computer Science Laboratory)

Page 4: Progress in Heural Information Processing · Improving Long Term Time Series Prediction Using A Modified Influence ... A Neuro-Evolutionary Framework for Fuzzy Soft-Constraint Optimisation:

ICONIP'96-Hong Kong xxiii

A Soft Computing Approach to the Management of the Chemical Plant Start-Up 822M.A. Fernandes, L.A. V. Carvalho and F. Mora-Camino (University Paul Sabatier)

A Real-Time Evolutionary Algorithm for In-Situ Ellipsometer Data Analysis 827P.P.C. Yip, Y.H. Pao, S.R. LeClair and K.G. Eyink (AI WARE, Inc)

The Self-Encoding Genetic Algorithm 832X. Wang, X. Shi and Z. Lu (Shanghai Jiao Tong University)

A Fusion Technique of GAs and SA and Its Application to QAPs 838L.J. Park and C.H. Park (Korea Advanced Institute of Science and Technology)

Evolutionary Computing (Poster Presentation) 843

An Adaptive Fuzzy Neural Network with Evolutionary Learning Algorithm 845S.S. Yao, C.J. Wei and Z.Y. He (Southeast University)

Neuroscience and Biophysics (Oral Presentation) 851

A Two Dimensional Network Model of Nucleus Laminaris Based on A RealisticNeuron Model for Sound Location of Barn Owl 853K. Kono, Y. Kashimori and T. Kambara (The University of Electro-Communications)

Spatio-Temporal Representation of Odor Information in Olfactory Bulb 8580. Hoshino, Y. Kashimori and T. Kambara (The University of Electro-Communications)

Effect of Temporal Pattern of Peripheral Taste Nerve Activity on Self-Organization ofGustatory Neuron Types in Hindbrain 864K. Waki, Y. Kashimori, A. Tsuboi and T. Kambara (The University of Electro-Communications)

Modeling of Propagation of Action Potential of Neural Fiber and Its Applications 870S.L. Zhao and Y.P. Li (Beijing Medical University)

Hierarchical Classification of Spatio-Temporal Firing Patterns Encoding Odors in A Neural NetworkModel of Olfactory Cortex 876T. Oyamada, 0. Hoshino, Y. Kashimori and T. Kambara(The University of Electro-Communications)

Diagnostic Information Extraction From Automated ECG Analysis in AnteriorMyocardial Infarction Using Neural Networks 882

Page 5: Progress in Heural Information Processing · Improving Long Term Time Series Prediction Using A Modified Influence ... A Neuro-Evolutionary Framework for Fuzzy Soft-Constraint Optimisation:

XXIV ICONIP '96 - Hong Kong

K. Oguri, A. Iwata and K. Yamauchi (Aichi Prefectural University)

Simulations on Sign Selective Process in Jamming Avoidance Response ofElectric Fish Eigenmannia 888Y. Kashimori and T. Kambara (The University of Electro-Communications)

Model Explaining Subjective Contour 894K. Ikuta and K. Fukushima (Osaka University)

Computer Simulation of Emergence of Group Intelligence in Fish School 900Y. Narita, Y. Kashimori, N. Sasaki and T. Kambara (The University of Electro-Communications)

Neural Networks and Child Language Development: Towards A 'Conglomerate' NeuralNetwork Simulation Architecture 906S.S.R. Abidi (Universiti Sains Malaysia)

Neural Control and Robotics (Oral Presentation) 913

A Neural Networks Approach for Approximate Realization of Nonlinear Hoc Controller . . . 915X.F. Yang, T.L. Shen and K. Tamura (Sophia University)

Learning Fine Motion in Robotics: Experiments with the Hierarchical ExtendedKohonen Map 921C. Versino and L.M. Gambardella (IDSIA)

A Tree-Structured Neural Network for Real-Tirne Adaptive Control 926A.P. Heinz (Universitat Freiburg)

Robust Approximate Pole Assignment Via Neuro-Optimization 932D. Ho, J. Lam, J.H. Xu and H. K. Tarn (City University of Hong Kong)

A Kendama Learning Robot Based on A Dynamic Optimization Principle 938H. Miyamoto, F. Gandolfo, H. Gomi, S.K. Schaal, Y. Koike, R. Osu, E. Nakano,Y. Wada and M. Kawato (ATR Human Information Processing Research Laboratories)

Collision Detection in Robot Path Planning Using Neural Networks 943J. Yuan (University of Windsor)

An Intelligent Navigator for Mobile Vehicles 948N.H.C. Yung and C. Ye (The University of Hong Kong)

On Integrating Domain Knowledge into Reinforcement Learning 954A. Hoffmann and B. Freier (University of New South Wales)

Page 6: Progress in Heural Information Processing · Improving Long Term Time Series Prediction Using A Modified Influence ... A Neuro-Evolutionary Framework for Fuzzy Soft-Constraint Optimisation:

ICONIP '96 - Hong Kong xxv

Neuro-Adaptive Control of A Non-Minimum Phase System with Varying Time-Delay . . . 960A. Toudeft and P. Gallinari (University of Paris 6)

Neural Dynamic Routing for Robust Teletraffic Control 965W.K.F. Lor and K.Y.M. Wong (The Hong Kong University of Science and Technology)

Recursive Neural Networks as an Hypotheses Tester for Deinterleaving Repetitive Sequences 970G. Noone and S.D. Howard (Defence Science and Technology Organisation)

Neural Control and Robotics (Poster Presentation) 977

Comparison of Three Different Neuro-Compensation Schemes for Adaptive Control ofRobot Manipulators 979S.K. Tso and N.L. Lin (City University of Hong Kong)

A Neural Network for Industrial Robot Collision Avoidance 985U. Borgolte (Fern Universitdt Hagen)

Population Coding of Hand Locational Direction in Proprioceptive Cortex 989M. Jang and S.Z. Cho (Pohang University of Science and Technology)

Optimal Trajectory Generation for an Industrial Robot by Markovian Networks 995J. Puzicha, N. Goerke and R. Eckmiller (University of Bonn)

A New Component Architecture Approach for CBP Neural Networks 999C.H. Park and H.S. Lee (KyungHee University)

Hardware Implementations (Oral Presentation) 1005

An Implementation of BP ANNs on a ILLIAC Connected Multiple Processors System . . . 1007W. Y. Chan, C.K. Li and H. W. Guan (The Hong Kong Polytechnic University)

ASIC Structure Research and Design of FP-Based Neural Networks 1012L. Liu, Y.N. Zhao and B. Zhang (Tsinghua University)

Implementing Backpropagation Training on A Reconfigurable Computer UsingPipelining of the Training Patterns 1017J. Torresen and J.G. Solheim (Norwegian University of Science and Technology)

Design of 12 Bit Multiplier Using the Redundant Binary Representation 1023D.H. Jung, T.I. Yun and D. Chung (Inha University)

A Switched-Capacitor Fuzzy Processor 1028L.S. Liu, B.X. Shi and Z.J. Li (Tsinghua University)

Page 7: Progress in Heural Information Processing · Improving Long Term Time Series Prediction Using A Modified Influence ... A Neuro-Evolutionary Framework for Fuzzy Soft-Constraint Optimisation:

xxvi ICONIP '96 - Hong Kong

NeuDB'95: An SQL Based Neural Network Environment 1033E. Schikuta (University of Vienna)

High Performance VLSI Compressors for Large Data Matrix in Digital NeuralNetworks Implementation 1039D. Zhang (City University of Hong Kong)

A Floating-Gate "Synapse" Circuit and Its Application to A Neural NetworkIntegrated Circuit with On-Chip Learning 1045P.A. Shoemaker, C.G. Hutchens, J.E. Cooper and I. Lagnado(U.S. Naval command, Control and Ocean Surveillance Center)

CAM-Brain ATR's Billion Neuron Artificial Brain Project 1049H. de Garis (ATR Human Information Processing Research Laboratories)

Hardware Implementations (Poster Presentation) 1055

Study of Neuron Model Using the Stochastic Processing 1057K. T. Kim, B.K. Kim and D. Chung (Inha University)

Discrete Walsh Transform Neuro Chip Using OTA Circuits 1063T. Kamio, H. Adachi, H. Ninomiya and H. Asai (Shizuoka University)

A Neural Network Visualization and Sensitivity Analysis Toolkit 1069Y.S. Liao and J. Moody (Oregon Graduate Institute)

Parallel Implementation of the Confluent Preorder Parser on DECmpp 1075K.S.E. Ho, W.S. Luk and L.W. Chan (The Chinese University of Hong Kong)

Hybrid Systems and Applications (Oral Presentation) iO8i

Asymptotic Stability of Feedback Additive Fuzzy Systems (Invited talk) 1083B. Kosko (University of Southern California)

Neural Networks for Detecting Conflicts on Real Vector Sets 1089Y. Matsuyama and K. Ogura (Waseda University)

Adaptive Learning in Modular Fuzzy Neural Networks (Invited talk) 1096N.K. Kasabov (University of Otago)

Recognition-Based Extraction of Characters in Printed Documents 1102J.H. Bae, M.H. Part and H.J. Kim (Kyung-Pook National University)

Page 8: Progress in Heural Information Processing · Improving Long Term Time Series Prediction Using A Modified Influence ... A Neuro-Evolutionary Framework for Fuzzy Soft-Constraint Optimisation:

ICONIP '96 - Hong Kong xxvii

Interactive Connectionist System for Rhytmic Prediction 1108A. Pazos, J.J.Romero-Cardalda, A.S. del Riego and J. Dorado (University of A Coruna)

Three Valued Logic Neural Network 1112G.Y. Wang and H.B. Shi (Chongqing University of Posts & Telecommunications)

Neural Network Based Automatic Grammatical Annotation of Chinese Text 1116W. Liu and Y.X. Zhong (Beijing University of Posts & Telecommunication)

Self-Organized Segmentation ofHormone Pulsatility: Separating Growth Hormone Secretion in Health and Disease . . . . 1121K. Prank, M. Kloppstech, S.J. Nowlan, T. Sejnowski and G. Brabant (Medical School Hannover)

Radial Basis Network for Facial Expression Synthesis 1127/. King and H. T. Hou (The Chinese University of Hong Kong)

Hybrid Systems and Applications (Poster Presentation) 1133

Neural Network Model with Pointer Loop for STM 1135B. Huang (Institute of Automation)

Creation of Evaluation Axes by Evolution and Their Roles for Mind in Neural Networks . . 1140M. Takase

The Use of Neural Networks for Detecting Cancerous Cells Based on the One-ClassProblem Approach 1146N.A. Murshed, F. Bortolozzi and R. Sabourin (Pontificia Universidade Catolica do Parana)

A Neural Network Approach to Threshold Selection 1152C.H. Li and P.K.S. Tarn (Hong Kong Polytechnic University)

Spatial Representation of Keywords and Documents by Optimizationand Inverse Optimization 1158N. Homma and M. Ishikawa (Kyushu Institute of Technology)

Neural Soft-Sensor for the RFCCU's Fractionator Naphtha Endpoint 1164J. C. Wang and S. Q. Wang (Zhejiang University)

Monitoring and Modeling of Complex Processes Using the Self-Organizing Map 1169E. Alhoniemi, 0. Simula and J. Vesanto (Helsinki University of Technology)

Hydroelectric Power Plant Predictive Maintenance Relying on Neural NetworkAcoustic Module 1175P. Isasi-Vifiuela, J.M. Molina-Lopez and A. Navia-Vdzquez (Universidad Carlos III de Madrid)

Page 9: Progress in Heural Information Processing · Improving Long Term Time Series Prediction Using A Modified Influence ... A Neuro-Evolutionary Framework for Fuzzy Soft-Constraint Optimisation:

xxvmICONIP '96 - Hong Kong

Power System Fault Prediction Using Artificial Neural Networks 1181K.C.P. Wong, H.M. Ryan and J. Tindle (University of Sunderland)

Special Session I : Blind Signal Processing - Adaptive and NeuralNetwork Approaches, A. Cichocki, Invited Organizer 1187

Unconstrained Optimization Criteria for Blind Deconvolution of Multichannel Linear Systems 1189Y. Inouye and T. Sato (Osaka University)

A B l i n d I d e n t i f i c a t i o n a n d S e p a r a t i o n T e c h n i q u e V i a M u l t i - L a y e r N e u r a l N e t w o r k s . . . . 1 1 9 5A. Belouchrani, A. Cichocki and K.A. Meraim (University of California, Berkeley)

Simple One-Unit Neural Algorithms for Blind Source Separation and Blind Deconvolution . 1201A. Hyva'rinen (Helsinki University of Technology)

Nonlinear Blind Source Separation by Self-Organizing Maps 1207P. Pajunen, A. Hyvarinen and J. Karhunen (Helsinki University of Technology)

Perspectives and Limitations of Self-Organizing Maps in Blind Separation of Source Signals 1211M. Herrmann and H.H. Yang (RIKEN)

Blind Signal Processing: Adaptive Blind Equalization Using Artificial Neural Networks . . 1217C.F. Wong and T.L. Fine (Cornell University)

A Technique for Higher-Order-Only Blind Source Separation 1223L. De Lathauwer, B. De Moor and J. Vandewalle (ESAT, SISTA)

Performance Surfaces of Blind Source Separation Algorithms 1229S.J. Flockton, D. Yang and G.J. Scruby (University of London)

A General Independent Component Analysis Framework Based on Bayesian-KullbackYing-Yang Learning 1235L. Xu and S.I. Amari (The Chinese University of Hong Kong)

Special Session II : Hardware Implementations,S. Y. Lee, Invited Organizer 1241

An On-Chip Parallel Processor for Neural Networks 1243K. Tanaka and K. Kyuma (Mitsubishi Electric Corporation)

N e u r a l N e t w o r k I m p l e m e n t a t i o n w i t h A n a l o g u e - D i g i t a l M i x e d N e u r a l C h i p U R A N . . . . 1 2 4 7I.S. Han (Korea Telecom Multimedia Lab)

A PDM Digital Neural Network System with 1,000 Neurons Fully InterconnectedVia 1,000,000 6-Bit Synapses 1251

Page 10: Progress in Heural Information Processing · Improving Long Term Time Series Prediction Using A Modified Influence ... A Neuro-Evolutionary Framework for Fuzzy Soft-Constraint Optimisation:

ICON IP'96- Hong Kong xxix

Y. Hirai and M. Yasunaga (University of Tsukuba)

An Amplitude and Shift Invariant Micropower Template Matcher 1257R. Coggins, M. Jabri, R. Wang and S. Avery (University of Sydney)

Real-Time Learning of Chaos Dynamics Using A High-Performance Simulator onA Neuro-Computer 1262Y. Sato, Y. Kuwabara and R. Oka (Hitachi Ltd.)

Special Session III : Spatio-temporal Coding of Neural NetworksM. Tsukada, Invited Organizer 1269

Psychophysical and Neural Responses to Visual Flow Composed of Two DirectionalMoving Components 1271H. Saito, E. Hida, Y. Kurachi, H. Ohno, K. Odajima and M. Tsukada (Tamagawa University)

Long-Term Potentiation and Neural Coding As A Single Dynamical Process 1275M. Stiber and R. Ieong (The Hong Kong University of Science and Technology)

Neural Coding of Auditory Information in Animal Brain Revealed by Optical Imaging . . . 1281K. Fukunishi, R. Tokioka and N. Murai (Hitachi Ltd.)

Dynamic Population Representations of Visual and Somatosensory Cortex 1285H.R. Dinse, D. Jancke, A.C. Akhavan, T. Kalt, M. Giese and G. Schoner(Ruhr- Universitdt Bochum)

Spatial-Temporal Representation of Complex Sounds in Auditory Cortex 1291C.E. Schreiner, S. Wong, B. Bonham, N. Ge and S. Nagarajan (University of California)

Special Session IV : Neural Networks for Signal Processing and SystemModeling, A. Back, Invited Organizer 1297

Neural Networks for Computer-Human Interfaces: Glove-Talkll 1299S.S. Fels (ATR Media Integration & Communications Research Laboratories)

Cross-Validation with LULOO 1305P.H. S0rensen, M. N0rgdrd, L.K. Hansen and J. Larsen (Technical University of Denmark)

Aspects of Adaptive Learning Algorithms for FIR Feedforward Networks 1311A.D. Back and A.C. Tsoi (University of Queensland)

E s t i m a t i o n o f T a s t e C o m p o n e n t C o n c e n t r a t i o n s i n A B a t c h F e r m e n t a t i o n P r o c e s s . . . . 1 3 1 7T. Enders and V. Denk (Technische Universitdt Munchen)

Page 11: Progress in Heural Information Processing · Improving Long Term Time Series Prediction Using A Modified Influence ... A Neuro-Evolutionary Framework for Fuzzy Soft-Constraint Optimisation:

XXX ICONIP '96 - Hong Kong

Special Session V : Evolutionary Computing,K. S. Leung, Invited Organizer 1321

Two-Dimensional Object Recognition Based on A Modified Genetic Algorithm 1323S.K. Lim, H.C. Sim and K.C. Wong (Nanyang Technological University)

A Markov Chain Analysis of Premature Convergence in Genetic Algorithms 1330y. Leung, Y. Gao and Z.B. Xu (The Chinese University of Hong Kong)

Phenotypic Forking GA with Moving Windows 13355. Tsutsui, A. Ghosh and M. Takiguchi (Hannan University)

Equilibrium Selection Using Genetic Programming 1341S.H. Chen, J. Duffy and C.H. Yeh (National Chengchi University)

Special Session VI Biological and Machine PerceptionH. S. Chi, Invited Organizer 1347

A Method of Combining Multiple Classifiers with Different Features 1349K. Chen and H. Chi (Peking University)

Consciousness Machines: Theory and Applications 1355Y.X. Zhong (University of Posts & Telecommunications)

Some Analysis on the Classification Capability of Neural Network UsingQuadratic Sigmoidal Neurons 1361B. Y. Wang and Z. Y. He (Southeast University)

Fuzzy Neural Computing System Using Block Design 1364F. Jin and J.B. Fan (Southwest Jiaotong University)

Receptive Fields Defined in Parameters Space 1369Y.J. Wang, Y.Z. Chen and X.L. Qi (Academia Sinica)

Special Session VII : Neuro-Fuzzy Models and Adaptive InformationSystem, N. Kasabov, Invited Organizer 1375

Structural Learning and Bayesian Regularization in Neural Networks 1377M. Ishikawa (Kyushu Institute of Technology)

Analysis of EEG Signals with Wavelets and Knowledge Engineering Techniques 1381S. Halgamuge, C. Herrmann and L. Jain (University of South Australia)

Page 12: Progress in Heural Information Processing · Improving Long Term Time Series Prediction Using A Modified Influence ... A Neuro-Evolutionary Framework for Fuzzy Soft-Constraint Optimisation:

ICONIP'96-Hong Kong xxxi

Fuzzy Neural Adaptive Discrimination Diagnosis System Considering Relative Importance and TimeVariation 1387/ . y. Shim and C.S. Hwang (Yongln Technical College)

Special Session VIII : Applications,I. King, Invited Organizer 1393

Fault-Tolerance Evaluation of SOM (Self-Organizing Map) Using A Neuro-Computer:MY-NEUPOWER 1395M. Yasunaga, I. Hachiya and M. Keiji (University of Tsukuba)

I d e n t i f y i n g a n d V e r i f y i n g H a n d w r i t t e n S i g n a t u r e I m a g e s U t i l i z i n g N e u r a l N e t w o r k s . . . . 1 4 0 0K. Huang and H. Yan (University of Sydney)

Real-Time Neural Adaptive Control of Unreliable Plants 1405B. Porter and R.J.D. Hall (The University of Hong Kong)

Learning in Noisy and Drifting Environments 1411A. Kuh (University of Hawaii)