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IJCNN 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 6. IEEE Computer Society 2000
Self-Organizing Maps I
- Da Deng, Nikola K. Kasabov:
ESOM: An Algorithm to Evolve Self-Organizing Maps from On-Line Data Streams. 3-8 - Tom Heskes, Jan-Joost Spanjers, Wim Wiegerinck:
EM Algorithms for Self-Organizing Maps. 9-14 - Michael Dittenbach, Dieter Merkl, Andreas Rauber:
The Growing Hierarchical Self-Organizing Map. 15-19 - Thomas Voegtlin:
Context Quantization and Contextual Self-Organizing Maps. 20-25 - John A. Flanagan:
Self-Organization in the SOM and Lebesque Continuity of the Input Distribution. 26-34
Adaptive Resonance Theory Networks II
- Eric Granger, Mark A. Rubin, Stephen Grossberg, Pierre Lavoie:
Classification of Incomplete Data Using the Fuzzy ARTMAP Neural Network. 35-40 - Stephen J. Verzi, Gregory L. Heileman, Michael Georgiopoulos, Michael J. Healy:
Hierarchical ARTMAP. 41-46 - Eduardo Gómez-Sánchez, Yannis A. Dimitriadis, J. Manuel Cano Izquierdo, Juan López Coronado:
MicroARTMAP: Use of Mutual Information for Category Reduction in Fuzzy ARTMAP. 47-52 - Dimitrios Charalampidis, Michael Georgiopoulos, Takis Kasparis:
Classification of Noisy Signals Using Fuzzy ARTMAP Neural Networks. 53-58 - Georgios C. Anagnostopoulos, Michael Georgiopoulos:
Hypersphere ART and ARTMAP for Unsupervised and Supervised, Incremental Learning. 59-66
Manufacturing
- T. Rinder, H. Rothe:
Surface Identification Using Angle Resolved Light Scatter Measurements. 67-72 - Walter Maydl, Bernhard Sick:
Recurrent and Non-Recurrent Dynamic Network Paradigms: A Case Study. 73-80
Speech Processing II
- Rhee Man Kil, Young-Ik Kim, Geon Hyoung Lee:
A Noise-Robust Front-End Based on Tree-Structured Filter-Bank for Speech Recognition. 81-86 - Jae-Hoon Jeong, Soo-Young Lee:
Speaker Adaptation based on Judge Network with Small Adaptation Words. 87-90 - Qing Ma, Kyoko Kanzaki, Masaki Murata, Masao Utiyama, Kiyotaka Uchimoto, Hitoshi Isahara:
Self-Organizing Semantic Maps of Japanese Nouns in Terms of Adnominal Constituents. 91-96 - Ig-Tae Um, Jong-Jin Won, Moon-Hyun Kim:
Text Independent Speaker Verification Using Modular Neural Network. 97-104
Communications V
- Antonio Chella, D. Guarino, Giuseppe Di Fatta, G. Favarò, Giuseppe Lo Re:
A Reconfigurable Neural Environment on Active Networks. 105-108 - Enjie Liu, Laurie G. Cuthbert, John A. Schormans, Gary Stoneley:
Neural Network in Fast Simulation Modeling. 109-113 - Anastasios D. Doulamis, Nikolaos D. Doulamis, Stefanos D. Kollias:
Recursive Non Linear Models for On Line Traffic Prediction of VBR MPEG Coded Video Sources. 114-119 - Dragan Jevtic, Denis Sablic:
Intelligent Call Transfer Based on Reinforcement Learning. 120-126
Special Session on 'Artificial Neural Networks for Mobile Robots'
- Alicia D'Anjou, Francisco Javier Torrealdea, Cecilia Sarasola:
Control of Chaotic Behavior with ANN. 127-130 - Elsa Fernández, Imanol Echave, Manuel Graña:
Increased Robustness in Visual Processing with SOM-Based Filtering. 131-134 - José Luis Crespo, José Santos Reyes, Richard J. Duro:
Robust Visual Recognition with High-Order Gaussian Synapses Networks. 135-139 - Bogdan Raducanu, Manuel Graña:
Morphological Neural Networks for Robust Visual Processing in Mobile Robotics. 140-143 - Francisco Bellas, José Antonio Becerra, José Santos Reyes, Richard J. Duro:
Applying Synaptic Delays for Virtual Sensing and Actuation in Mobile Robots. 144-152
Self-Organizing Maps II
- Norbert Michael Mayer, J. Michael Herrmann, Theo Geisel:
Structure Formation in Visual Cortex Based on a Curved Feature Space. 153-158 - Arnulfo P. Azcarraga:
Assessing Self-Organization Using Order Metrics. 159-164 - Gabriela Guimarães:
Temporal Knowledge Discovery for Multivariate Time Series with Enhanced Self-Organizing Maps. 165-170 - Mu-Chun Su, Chien-Hsing Chou, Hsiao-Te Chang:
Adding a Healing Mechanism in the Self-Organizing Feature Map Algorithm. 171-176 - Andreas Rauber, Philipp Tomsich, Dieter Merkl:
parSOM: A Parallel Implementation of the Self-Organizing Map Exploiting Cache Effects: Making the SOM Fit for Interactive High-Performance Data Analysis. 177-184
Identification III
- André Nunes de Souza, Ivan Nunes da Silva, Mário Eduardo Bordon:
Artificial Neural Networks Applied in Study of Atmospheric Parameters to High Voltage Substations Concerning Lightning. 185-190 - Giuseppe Nunnari, Libero Bertucco:
Soft Computing Techniques for Modeling Geophysical Data. 191-196 - Olivier Sarzeaud, Yann Stéphan:
Data Interpolation Using Kohonen Networks. 197-202 - Ivan Nunes da Silva, Nilton J. Saggioro, Jose A. Cagnon:
Using Neural Networks for Estimation of Aquifer Dynamical Behavior. 203-207 - Ingrid Schjølberg:
A Comparison Study between Artificial Neural Networks and AR-Models, Applied to Norwegian Inflow Time Series. 208-216
Power Systems
- Volker Stephan, Klaus Debes, Horst-Michael Gross, F. Wintrich, H. Wintrich:
A Reinforcement Learning Based Neural Multi-Agent-System for Control of a Combustion Process. 217-222 - Amanda J. C. Sharkey, Gopinath Odayammadath Chandroth, Noel E. Sharkey:
Acoustic Emission, Cylinder Pressure and Vibration: A Multisensor Approach to Robust Fault Diagnosis. 223-228 - Witold Bartkiewicz:
Neuro-Fuzzy Approaches to Short-Term Electrical Load Forecasting. 229-234 - Witold Bartkiewicz, Zbigniew Gontar, Jerzy S. Zielinski, Witold Bardzki:
Uncertainty of the Short-Term Electrical Load Forecasting in Utilities. 235-240 - Otávio Augusto Salgado Carpinteiro, Alexandre P. Alves da Silva, Carlos H. L. Feichas:
A Hierarchical Neural Model in Short-Term Load Forecasting. 241-248
Signal Processing
- Masaru Teranishi, Sigeru Omatu, Toshihisa Kosaka:
Classification of Bill Fatigue Levels by Feature-Selected Acoustic Energy Pattern Using Competitive Neural Network. 249-252 - Fausto Acernese, Fabrizio Barone, Antonio Eleuteri, F. Garufi, Leopoldo Milano, Roberto Tagliaferri:
A Hierarchical Neural Network-Based Approach to VIRGO Noise Identification. 253-258 - Ryan Mukai, Payman Arabshahi, Victor A. Vilnrotter:
An Array Feed Radial Basis Function Tracking System for NASA's Deep Space Network Antennas. 259-264 - Karsten Fanghänel, Kuno Köllmann, Frank Raps, Hans Christoph Zeidler:
Classifying Emitters in the High Frequency Range with Self-Organizing Maps. 265-269 - Hendrik Purwins, Benjamin Blankertz, Klaus Obermayer:
A New Method for Tracking Modulations in Tonal Music in Audio Data Format. 270-278
Data Analysis II
- Francesco Vivarelli, Roberto Serra, Enzo Agagliati, Antonella Malcangi, Roberto Muraca:
Bayesian Neural Network for Fermentation Control. 279-284 - Giansalvo Cirrincione, Sabine Van Huffel, Maurizio Cirrincione:
The GeTLS EXIN Neuron for Linear Regression. 285-289 - Xuequn Li, Irwin King:
Regression Analysis for Rival Penalized Competitive Learning Binary Tree. 290-295 - Thomas Trappenberg, Andrew D. Back:
A Classification Scheme for Applications with Ambiguous Data. 296-301 - Aaron J. Owens:
Empirical Modeling of Very Large Data Sets Using Neural Networks. 302-310
Robotics III
- Naoyuki Kubota, Yusuke Nojima, Fumio Kojima, Toshio Fukuda:
Multi-Objective Behavior Coordinate for a Mobile Robot with Fuzzy Neural Networks. 311-316 - Edoardo Ardizzone, Antonio Chella, Roberto Pirrone:
Pose Classification Using Support Vector Machines. 317-322 - Fredrik Linåker, Lars Niklasson:
Time Series Segmentation Using an Adaptive Resource Allocating Vector Quantization Network Based on Change Detection. 323-328 - Hirotaka Akita, Md. Monirul Islam, Tooru Matumoto, Kazuyuki Murase:
Back-Propagation Learning in Real Autonomous Mobile Robot Using Proximal and Distal Evaluation of Behavior . 329-333 - Catarina Silva, Manuel M. Crisóstomo, Bernardete Ribeiro:
MONODA: A Neural Modular Architecture for Obstacle Avoidance without Knowledge of the Environment. 334-342
Economics and Finance II
- Larisa Lokmic, Kate A. Smith:
Cash Flow Forecasting Using Supervised and Unsupervised Neural Networks. 343-347 - Theodore B. Trafalis, Huseyin Ince:
Support Vector Machine for Regression and Applications to Financial Forecasting. 348-353 - Alan Fan, Marimuthu Palaniswami:
Selecting Bankruptcy Predictors Using a Support Vector Machine Approach. 354-359 - Andreas S. Andreou, Constantinos C. Neocleous, Christos N. Schizas, Costas Toumpouris:
Testing the Predictability of the Cyprus Stock Exchange: The Case of an Emerging Market. 360-368
Fault Diagnosis and Defect Identification II
- Steve F. Hiebert, Ratna Babij Chinnam:
Role of Artificial Neural Networks and Wavelets in On-Line Reliability Monitoring of Physical Systems. 369-374 - Simon J. Hickinbotham, James Austin:
Neural Networks for Novelty Detection in Airframe Strain Data. 375-380 - S. Barcherini, L. Cipiccia, M. Maggi, Simone G. O. Fiori, Pietro Burrascano:
Non-Destructive Test by the Hopfield Network. 381-388
Support Vector Machines II
- Eduardo Bayro-Corrochano, Refugio Vallejo:
Geometric Neural Networks and Support Multi-Vector Machines. 389-394 - Ana Madevska Bogdanova, Dragan Nikolik:
A New Approach of Modifying SVM Outputs. 395-398 - João Pedro Pedroso, Noboru Murata:
Optimization on Support Vector Machines. 399-404 - Menita Carozza, Salvatore Rampone:
Towards an Incremental SVM for Regression. 405-410 - Ying Tan, Youshen Xia, Jun Wang:
Neural Network Realization of Support Vector Methods for Pattern Classification. 411-418
Neurodynamics and Chaos II
- Hiroki Suyari, Yoshinobu Kamitani, Ikuo Matsuba:
Randomly Connected Neural Networks Displaying 1/f Spectra. 419-422 - Emílio Del Moral Hernandez:
Bifurcating Pulsed Neural Networks, Chaotic Neural Networks and Parametric Recursions: Conciliating Different Frameworks in Neuro-Like Computing. 423-428 - Rafael Prieto Meléndez, Alberto A. Herrera Becerra, José Luis Pérez S., Alejandro Padrón G.:
Study of a Sequence of Neural Oscillators. 429-433 - Wilson A. Truccolo, Mingzhou Ding, Steven L. Bressler:
Dynamical Analysis of an Oscillatory Cortical Neural Network. 434-442
Network Optimization
- Rudy Setiono, Adam E. Gaweda:
Neural Network Pruning for Function Approximation. 443-448 - Weishui Wan, Kotaro Hirasawa, Jinglu Hu, Chunzhi Jin:
A New Method to Prune the Neural Network. 449-454 - Liying Ma, Khashayar Khorasani:
Input-Side Training in Constructive Neural Networks Based on Error Scaling and Pruning. 455-460 - Katsuyuki Hagiwara, Kazuhiro Kuno, Shiro Usui:
On the Problem in Model Selection of Neural Network Regression in Overrealizable Scenario. 461-466 - Md. Monirul Islam, Kazuyuki Murase, M. Shahjahan:
An Algorithm for Automatic Design of Two Hidden Layered Artificial Neural Networks. 467-474
Applications to Optimization I
- Fuyu Tian, Lipo Wang:
Augmented Lagrange Chaotic Simulated Annealing for Combinatorial Optimization Problems. 475-479 - Satoshi Matsuda:
Theoretical Considerations on the Dynamics of Hysteresis Binary Hopfield Networks for Combinatorial Optimization. 480-485 - Rainer Malaka, Sebastian Buck:
Solving Nonlinear Optimization Problems Using Networks Of Spiking Neurons. 486-491 - Youshen Xia, Jun Wang:
A Recurrent Neural Network for Solving Nonlinear Projection Equations. 492-497 - Xinchuan Zeng, Tony R. Martinez:
Rescaling the Energy Function in Hopfield Networks. 498-504
Applications to Optimization II
- Arun Jagota, Marcello Pelillo, Anand Rangarajan:
A New Deterministic Annealing Algorithm for Maximum Clique. 505-508 - Ivan Nunes da Silva, André Nunes de Souza, Mário Eduardo Bordon:
A Modified Hopfield Model for Solving the N-Queens Problem. 509-514 - Priya Alti, Basabi Bhaumik:
Neural Global Router. 515-520 - Gang Feng, Christos Douligeris:
Using Hopfield Networks to Solve Traveling Salesman Problems Based on Stable State Analysis Technique. 521-528
Fuzzy Neural Systems II
- Hiroyasu Kubota, Hisashi Tamaki, Shigeo Abe:
Robust Function Approximation Using Fuzzy Rules with Ellipsoidal Regions. 529-534 - Peitsang Wu, Shu-Cherng Fang, Henry L. W. Nuttle:
An Enhanced Fuzzy Neuron Controller for Curved Search Neural Network Learning. 535-540 - Antonello Rizzi, Massimo Panella, Fabio Massimo Frattale Mascioli, Giuseppe Martinelli:
A Recursive Algorithm for Fuzzy Min-Max Networks. 541-546 - Nicolino J. Pizzi:
Classification of Storm Events Using a Fuzzy Encoded Multilayer Perceptron. 547-550 - Ignacio Rojas, José Luis Bernier, Manuel Rodríguez Álvarez, Alberto Prieto:
What are the Main Functional Block Involved in the Design of Adaptive Neuro-Fuzzy Inference Systems? 551-558
Evolutionary Computation II
- Daming Shi, Chew Lim Tan:
GA-Based Supervised Learning of Neocognitron. 559-564 - Norio Baba, Hidetsugu Suto:
Utilization of Artificial Neural Networks and Gas for Constructing an Intelligent Sales Prediction System. 565-570 - Mark J. Embrechts, Dirk Devogelaere, Marcel Rijckaert:
Supervised Scaled Regression Clustering: An Alternative to Neural Networks. 571-576 - Fulvio Corno, Matteo Sonza Reorda, Giovanni Squillero:
Exploiting the Selfish Gene Algorithm for Evolving Cellular Automata. 577-584
Evolutionary Computation III
- Md. Monirul Islam, Hirotaka Akita, Kazuyuki Murase, M. Shahjahan:
Representative Evolution: A Simple and Efficient Algorithm for Artificial Neural Network Evolution. 585-590 - Peter Eggenberger:
Evolving Neural Network Structures Using Axonal Growth Mechanisms. 591-595 - Maciej Grzenda, Bohdan Macukow:
The Role of Weight Domain in Evolutionary Design of Multilayer Perceptrons. 596-599 - Peter Pachowicz, Sung Wook Baik:
Adaptive RBF Classifier for Object Recognition in Image Sequences. 600-605 - Hugo de Garis, Michael Korkin, Padma Guttikonda, Donald H. Cooley:
Simulating the Evolution of 2D Pattern Recognition on the CAM-Brain Machine, an Evolvable Hardware Tool for Building a 75 Million Neuron Artificial Brain. 606-612
Evolutionary Computation IV
- Abdesselam Bouzerdoum:
Classification and Function Approximation Using Feed-Forward Shunting Inhibitory Artificial Neural Networks. 613-618 - Michael Hüsken, Christian Goerick:
Fast Learning for Problem Classes Using Knowledge Based Network Initialization. 619-624 - W. K. F. Lor, Kwok Yip Szeto:
Switching Dynamics of Multi-Agent Systems: Soap Froths Paradigm. 625-628 - Kyparisia A. Papanikolaou, George D. Magoulas, Maria Grigoriadou:
Computational Intelligence in Adaptive Educational Hypermedia. 629-636
Robotics IV
- Aude Billard, Auke Jan Ijspeert:
Biologically Inspired Neural Controllers for Motor Control in a Quadruped Robot. 637-641 - Auke Jan Ijspeert:
A Leaky-Integrator Neural Network for Controlling the Locomotion of a Simulated Salamander. 642-648
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