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ORCIDIJCNN 2000: Como, Italy
- Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, IJCNN 2000, Neural Computing: New Challenges and Perspectives for the New Millennium, Como, Italy, July 24-27, 2000, Volume 4. IEEE Computer Society 2000
Clustering II
- Yiu-ming Cheung, Lei Xu:
A RPCL-Based Approach for Identification of Markov Model with Unknown Noise and Number of States. 3-8 - Chi-Hyon Oh, Eriko Ikeda, Katsuhiro Honda, Hidetomo Ichihashi:
Parameter Specification for Fuzzy Clustering by Q-Learning. 9-12 - Magnus Rattray:
A Model-Based Distance for Clustering. 13-16 - André S. Henriques, Aluízio F. R. Araújo, Silvio Morato:
Clustering Exploratory Activity in an Elevated Plus-Maze with Neural Networks. 17-22 - Bruno Cernuschi-Frías
, Enrique Carlos Segura:
On Learning Mean Values in Hopfield Associative Memories Trained with Noisy Examples Using the Hebb Rule. 23-30
Special Session on 'Noisy Chaotic Neural Networks for Information Storage and Retrieval'
- Paul J. Werbos:
Extending Chaos and Complexity Theory to Address Life, Brain and Quantum Foundations. 31-36 - Lipo Wang, Fuyu Tian:
Noisy Chaotic Neural Networks for Solving Combinatorial Optimization Problems. 37-40 - Frank C. Hoppensteadt, Eugene M. Izhikevich:
Neural Computations by Networks of Oscillators. 41-46
Hardware Implementation V
- Chun Lu, Bingxue Shi:
Circuit Realization of a Programmable Neuron Transfer Function and Its Derivative. 47-50 - Mario Costa, Davide Palmisano, Eros Pasero:
NESP2: a Low Power Analog NEural Signal Processor with Analog Weight Storage. 51-56 - Guoxing Li, Bingxue Shi:
A Programmable Neural-Fuzzy Processor for Handwritten Digit Classification. 57-61 - Teresa Serrano-Gotarredona, Bernabé Linares-Barranco, Andreas G. Andreou:
Programmable Kernel Analog VLSI Convolution Chip for Real Time Vision Processing. 62-65 - Gian Marco Bo, Daniele D. Caviglia, Maurizio Valle:
An On-Chip Learning Neural Network. 66-74
Independent Component Analysis II
- Michifumi Yoshioka, Sigeru Omatu:
Independent Component Analysis Using Time Delayed Sampling. 75-78 - Toshinao A. Kuzawa:
Multiplicative Newton-Like Algorithm and Independent Component Analysis. 79-82 - Aapo Hyvärinen, Patrik O. Hoyer, Mika Inki:
Topographic ICA as a Model of V1 Receptive Fields. 83-88 - Shiro Ikeda, Keisuke Toyama:
ICA for Noisy Neurobiological Data. 89-96
Medical Applications IV
- Thomas Waschulzik, Wilfried Brauer, T. Castedello, Bob Henery:
Quality Assured Efficient Engineering of Feedforward Neural Networks with Supervised Learning (QUEEN) Evaluated with the 'Pima Indians Diabetes Database'. 97-102 - Hiroshi Douzono, Shigeomi Hara, Yoshio Noguchi:
A Clustering Method of Chromosome Fluorescence Profiles Using Modified Self Organizing Map Controlled by Simulated Annealing. 103-106 - Zhen Zhang, Hong Zhang, Robert C. Bast Jr.:
An Application of Artificial Neural Networks in Ovarian Cancer Early Detection. 107-112 - Zheng Rong Yang, Robert G. Harrison, Weiping Lu:
Identifying Health Inequalities Using Artificial Neural Networks (WHO Data). 113-118 - Susan B. Garavaglia:
Health Care Customer Satisfaction Survey Analysis Using Self-Organizing Maps and "Exponentially Smeared" Data Vectors. 119-126
Vision I
- Dawei W. Dong:
The Separability of Visual Sensitivity into Spatial Frequency and Motion Velocity Based on Properties of Natural Images. 127-132 - Andrea Corradini, Horst-Michael Gross:
Camera-Based Gesture Recognition for Robot Control. 133-138 - Claudia Nölker, Helge J. Ritter:
Parametrized SOMs for Hand Posture Reconstruction. 139-144 - Monica Alderighi, Giacomo R. Sechi, Paolo Guazzoni, Stefania Russo, Luisa Zetta:
A Pre-Attentive Neural System for the Analysis of Nuclear Physics Experimental Data. 145-152
Learnability
- Andrzej Pacut:
The Basic Diffusion Model Neuron Cannot Learn. 153-158 - Bao-Liang Lu, Michinori Ichikawa:
Emergence of Learning: An Approach to Coping with NP-Complete Problems in Learning. 159-164 - Michael Schmitt:
VC Dimension Bounds for Product Unit Networks. 165-170 - Mitsunaga Kinjo, Shigeo Sato, Koji Nakajima:
Characteristics of Small Scale Non-Monotonic Neuron Networks Having Large Potentiality for Learning. 171-176
Special Session on 'Multiclass Support Vector Machines'
- Hélène Paugam-Moisy, André Elisseeff, Yann Guermeur:
Generalization Performance of Multiclass Discriminant Models. 177-182 - Yann Guermeur, André Elisseeff, Hélène Paugam-Moisy:
A New Multi-Class SVM Based on a Uniform Convergence Result. 183-188 - Chikahito Nakajima, Massimiliano Pontil, Tomaso A. Poggio:
People Recognition and Pose Estimation in Image Sequences. 189-196
Hardware Implementation VI
- Hossam Abdelbaki, Erol Gelenbe, Said E. El-Khamy:
Analog Hardware Implementation of the Random Neural Network Model. 197-201 - Tertulien Ndjountche, Rolf Unbehauen, Fa-Long Luo:
A 1.5V VLSI Circuit for the Co-Channel Signal Separation. 202-207 - Giacomo Indiveri:
A 2D Neuromorphic VLSI Architecture for Modeling Selective Attention. 208-213 - Alex Yoondong Park, Jim-Shih Liaw, Theodore W. Berger, Bing J. Sheu:
Compact VLSI Neural Network Circuit with High-Capacity Dynamic Synapses. 214-218 - Francesco Diotalevi, Maurizio Valle, Gian Marco Bo, Daniele D. Caviglia:
A VLSI Architecture for Weight Perturbation on Chip Learning Implementation. 219-226
Radial Basis Function Networks II
- Yoshifusa Ito:
Surface-Tracing Approximation by Basis Functions and Its Application to Neural Networks. 227-231 - Ajit T. Dingankar, Dhananjay S. Phatak:
Simultaneous Approximation with Neural Networks. 232-237 - Michalis K. Titsias, Aristidis Likas:
A Probabilistic RBF Network for Classification. 238-243 - Lale Özyilmaz, Tülay Yildirim:
Sensitivity Analysis for Conic Section Function Neural Networks. 244-252
Medical Applications V
- Carlos Hernández-Espinosa, Mercedes Fernández-Redondo, Pedro Gómez Vilda:
Diagnosis of Vocal and Voice Disorders by the Speech Signal. 253-258 - Satu Tamminen, Susanna Pirttikangas, Juha Röning:
Self-Organizing Maps in Adaptive Health Monitoring. 259-266
Motion Analysis
- Erdogan Çesmeli, Delwin T. Lindsey, DeLiang L. Wang:
An Oscillatory Correlation Model of Human Motion Perception. 267-272 - Yuki Matsuzawa, Itsuo Kumazawa:
Coarse-to-Fine Object Tracking Using a Shape Representation Network with Continuous Parameters Determining Shape Details. 273-278 - Takashi Takahashi, Takio Kurita:
Reconstructing Optical Flow Generated by Camera Rotation via Autoassociative Learning. 279-283 - Homayoun Navabi:
ARO: A Neural Network to Investigate a Time-Delayed Imposed Organization on First-Order and Second-Order Visual Stimuli at the Early Vision. 284-289 - Felipe M. G. França, Zhijun Yang:
Building Artificial CPGs with Asymmetric Hopfield Networks. 290-298
Non-Linear Control II
- Eloy Irigoyen, José B. Galván, María José Pérez-Ilzarbe:
Neural Networks for Constrained Optimal Control of Non-Linear Systems. 299-304 - Bo Ling:
Neural Network Based Feedforward Adapter for Batch Process Control. 305-310 - Heidar A. Talebi, Rajnikant V. Patel, Khashayar Khorasani:
A Neural Network Controller for a Discrete-Time Nonlinear Non-Minimum Phase System. 311-316 - Mark A. Motter:
Predictive Multiple Model Switching Control with the Self-Organizing Map. 317-324
Non-Linear Control III
- Ruangrit Ekachaiworasin, Suwat Kuntanapreeda:
A Training Rule Which Guarantees Finite-Region Stability of Neural Network Closed-Loop Control: An Extension to Nonhermitian Systems. 325-330 - V. Paraskevopoulos, Chris R. Chatwin, Malcolm I. Heywood:
Continuous Optimal Controllers Using Hierarchical Mixtures of Experts. 331-336 - Ieroham S. Baruch, José Martín Flores Albino, Ruben Garrido, Elena Gortcheva:
An Indirect Adaptive Neural Control of Nonlinear Plants. 337-344
Non-Linear Control IV
- Toru Fujinaka, Yoshiyuki Kishida, Michifumi Yoshioka, Sigeru Omatu:
Stabilization of Double Inverted Pendulum with Self-Tuning Neuro-PID. 345-348 - Claudio Pernechele, Enrico Giro, Favio Bortoletto:
Neural Network Algorithm Controlling a Hexapod Platform. 349-352 - Elena I. Gaura, Richard J. Rider, Nigel Steele:
Developing Smart Micromachined Transducers Using Feed-Forward Neural Networks: A System Identification and Control Perspective. 353-358 - Chris Manzie, Marimuthu Palaniswami, H. Watson:
Model Predictive Control of a Fuel Injection System with a Radial Basis Function Network Observer. 359-364 - Miguel Damas, Moisés Salmerón, Julio Ortega:
ANNs and GAs for Predictive Controlling of Water Supply Networks. 365-372
System Identification II
- Ralf Kretzschmar, Hans Richner, Nicolaos B. Karayiannis:
NEURO-BRA: A Bird Removal Approach for Wind Profiler Data Based on Quantum Neural Networks. 373-378 - Juan Jaime Vega, M. Rocio Reynoso, Miguel Arias-Estrada, Leopoldo Altamirano Robles:
Bragg Curve Identification Using a Neural Network. 379-382 - Eimei Oyama, Taro Maeda, Susumu Tachi:
Goal-Directed Property of On-line Direct Inverse Modeling. 383-388 - Marcelino Lázaro, Ignacio Santamaría, Carlos Pantaleón, Cesar Navarro, Antonio Tazón, Tomás Fernández Ibáñez:
A Modular Neural Network for Global Modeling of Microwave Transistors. 389-394 - Angel Mediavilla, Antonio Tazón, J. A. Pereda, Marcelino Lázaro, Ignacio Santamaría, Carlos Pantaleón:
Neuronal Architecture for Waveguide Inductive Iris Bandpass Filter Optimization. 395-402
Time Series Prediction II
- E. Chibaro, S. Fichera, Giovanni Muscato:
Octane Number Prediction in a Reforming Plant. 403-407 - Linyu Yang, Zhong He, John Yen, Ching Wu:
A Neural Network Approach to Predict Existing and Infill Oil Well Performance. 408-413 - Henrique S. Hippert, Carlos Eduardo Pedreira, Reinaldo Castro Souza:
Combining Neural Networks and ARIMA Models for Hourly Temperature Forecast. 414-419 - Alireza Sadeghian, J. D. Lavers:
Application of Feedfoward Neuro-Fuzzy Networks for Current Prediction in Electric Arc Furnaces. 420-428
Time Series Prediction III
- Anto Satriyo Nugroho, Susumu Kuroyanagi, Akira Iwata:
Fog Forecasting Using Self Growing Neural Network 'CombNET-II: ' A Solution for Imbalanced Training Sets Problem. 429-434 - André Dantas, Koshi Yamamoto, Marcus V. Lamar, Yaeko Yamashita:
Neural Network for Travel Demand Forecast Using GIS and Remote Sensing. 435-440 - Anatoly Sachenko, Volodymyr Kochan, Volodymyr Turchenko, Vladimir A. Golovko, Yury Savitsky, A. Dunets, Theodore Laopoulos:
Sensor Errors Prediction Using Neural Networks. 441-448
Time Series Prediction IV
- Ignacio Rojas, Héctor Pomares, Jesús González, Eduardo Ros, Moisés Salmerón, Julio Ortega, Alberto Prieto:
A New Radial Basis Function Networks Structure: Application to Time Series Prediction. 449-454 - Lars U. Hjorth, Ian T. Nabney:
Bayesian Training of Mixture Density Networks. 455-460 - Zouhour Neji Ben Salem, Fériel Mouria-Beji:
Neural Network and Time Series Identification and Prediction. 461-466 - Tomoo Aoyama, Hanxi Zhu, Ikuo Yoshihara:
Forecasting of the Chaos by Iterations Including Multi-Layer Neural-Network. 467-471 - Xiaohui Yu, Lei Xu:
Adaptive Improved Portfolio Sharpe Ratio Maximization with Diversification. 472-478
Spiking Neural Networks III
- Konrad P. Körding, Peter König:
Two Sites of Synaptic Integration: Relevant for Learning? 479-484 - Nicolas Langlois, Pierre Miché, Abdelaziz Bensrhair:
Analogue Circuits of a Learning Spiking Neuron Model. 485-489 - Tim Schönauer, Sahin Atasoy, Nasser Mehrtash, Heinrich Klar:
Simulation of a Digital Neuro-Chip for Spiking Neural Networks. 490-498
Supervised Learning IV
- Valentina Colla, Mirko Sgarbi, Leonardo Maria Reyneri:
Neuro-Wavelet Parametric Modeling. 499-504 - Yves Grandvalet:
Bagging Down-Weights Leverage Points. 505-510 - Katsuyuki Hagiwara, Kazuhiro Kuno:
Regularization Learning and Early Stopping in Linear Networks. 511-516 - Jés Jesus Fiais Cerqueira, Álvaro G. B. Palhares, Marconi K. Madrid:
A Complement to the Back-Propagation Algorithm: An Upper Bound for the Learning Rate. 517-522 - Weber Martins, Carlos Galvão Pinheiro Jr.:
On-Line Expansion of Goal Seeking Neuron Networks. 523-528
Supervised Learning V
- Herna L. Viktor:
Generating New Patterns for Information Gain and Improved Neural Network Learning. 529-534 - Michel Winter, Giorgio Metta, Giulio Sandini:
Neural-Gas for Function Approximation: A Heuristic for Minimizing the Local Estimation Error. 535-538 - Michel Winter, Giorgio Metta, Giulio Sandini:
Adding Reinforcement Learning Features to the Neural-Gas Method. 539-542 - Mercedes Fernández-Redondo, Carlos Hernández-Espinosa:
A Comparison among Weight Initialization Methods for Multilayer Feedforward Networks. 543-548 - Ah Chung Tsoi, Markus Hagenbuchner, Alessio Micheli:
Building MLP Networks by Construction. 549-556
Recurrent Networks II
- Felix A. Gers, Jürgen Schmidhuber:
Neural Processing of Complex Continual Input Streams. 557-562 - Pedro Henrique Gouvêa Coelho:
An Extended RTRL Training Algorithm Using Hessian Matrix. 563-568 - F. Rosati, Paolo Campolucci, Francesco Piazza:
A General Approach to Gradient Based Learning in Multirate Systems and Neural Networks. 569-576
Recurrent Networks III
- Alex Aussem:
Sufficient Conditions for Error Back Flow Convergence in Dynamical Recurrent Neural Networks. 577-582 - Pu Sun, Kenneth A. Marko:
Estimation of the Training Efficiency of Recurrent Neural Networks. 583-588 - Josefina Barrera-Cortés, Ieroham S. Baruch:
Recurrent Neural Network Model of a Fed-Batch Saccharomyces Cerevisiae Fermentation Process. 589-596
Unsupervised Learning II
- Andrew Luk, Sandra Lien:
Dynamics of the Generalized Lotto-Type Competitive Learning. 597-601 - Masahiro Iwasaki, Shigeru Okuma, Tomonori Hashiyama:
Self-Creating and Organizing Neural Networks with Weight Duplication. 602-607 - Cornelius Weber, Klaus Obermayer:
Structured Models from Structured Data: Emergence of Modular Information Processing within One Sheet of Neurons. 608-613 - Pei Ling Lai, Colin Fyfe:
Kernel and Nonlinear Canonical Correlation Analysis. 614
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