Neurocomputing, Volume 51

Volume 51, April 2003

• Ayanna M. Howard, Curtis Padgett:
  An adaptive learning methodology for intelligent object detection in novel imagery data. 1-11
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• Algis Garliauskas:
  Self-organized topological structures in neural networks for the visual cortex of the brain. 13-39
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• Kaibo Duan, S. Sathiya Keerthi, Aun Neow Poo:
  Evaluation of simple performance measures for tuning SVM hyperparameters. 41-59
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• Stefania Gentili:
  A new method for information update in supervised neural structures. 61-74
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• Ajantha S. Atukorale, Tom Downs, Ponnuthurai N. Suganthan:
  Boosting the HONG network. 75-86
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• Da Deng, Nikola K. Kasabov:
  On-line pattern analysis by evolving self-organizing maps. 87-103
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• Tong Zhao, Lilian H. Y. Tang, Horace Ho-Shing Ip, Feihu Qi:
  On relevance feedback and similarity measure for image retrieval with synergetic neural nets. 105-124
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• Jayanta Basak, Anirban Das:
  Hough transform network: a class of networks for identifying parametric structures. 125-145
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• Francesco Camastra, Alessandro Vinciarelli:
  Combining neural gas and learning vector quantization for cursive character recognition. 147-159
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• Kunihiko Fukushima:
  Neocognitron for handwritten digit recognition. 161-180
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• Takio Kurita, Takashi Takahashi:
  Viewpoint independent face recognition by competition of the viewpoint dependent classifiers. 181-195
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• Lin-Lin Huang, Akinobu Shimizu, Yoshihiro Hagihara, Hidefumi Kobatake:
  Face detection from cluttered images using a polynomial neural network. 197-211
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• Noriko Yoshiike, Yoshiyasu Takefuji:
  Object segmentation using maximum neural networks for the gesture recognition system. 213-224
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• Najet Arous, Noureddine Ellouze:
  Cooperative supervised and unsupervised learning algorithm for phoneme recognition in continuous speech and speaker-independent context. 225-235
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• Yas Abbas Alsultanny, Musbah M. Aqel:
  Pattern recognition using multilayer neural-genetic algorithm. 237-247
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• Chunrong Yuan, Heinrich Niemann:
  Neural networks for appearance-based 3-D object recognition. 249-264
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• Friedhelm Schwenker, Christian Dietrich, Hans A. Kestler, Helge Klaus Rieder, Günther Palm:
  Radial basis function neural networks and temporal fusion for the classification of bioacoustic time series. 265-275
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• Lei Xu:
  BYY learning, regularized implementation, and model selection on modular networks with one hidden layer of binary units. 277-301
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• Yolanda Blanco Archilla, Santiago Zazo:
  New Gaussianity measures based on order statistics: application to ICA. 303-320
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• Lijuan Cao:
  Support vector machines experts for time series forecasting. 321-339
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• Xu Han, Dao-Lin Xu, Gui-Rong Liu:
  A computational inverse technique for material characterization of a functionally graded cylinder using a progressive neural network. 341-360
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• Liying Ma, Khashayar Khorasani:
  A new strategy for adaptively constructing multilayer feedforward neural networks. 361-385
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• Jane Weizhen Lu, H. Y. Fan, S. M. Lo:
  Application of evolutionary neural network method in predicting pollutant levels in downtown area of Hong Kong. 387-400
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• Rubin Wang, Zhikang Zhang, Yun-Bo Duan:
  Nonlinear stochastic models of neurons activities. 401-411
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• An-Chyau Huang:
  Model reference adaptive control of a class of non-autonomous systems using serial input neuron. 413-423
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• Rong-Jong Wai:
  Tracking control based on neural network strategy for robot manipulator. 425-445
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• Donald L. Hung, Jun Wang:
  Digital hardware realization of a recurrent neural network for solving the assignment problem. 447-461
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• H. John Caulfield:
  Artificial Color. 463-465
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• Marcelo Azevedo Costa, Antônio de Pádua Braga, Benjamin Rodrigues de Menezes, Roselito de Albuquerque Teixeira, Gustavo Guimarães Parma:
  Training neural networks with a multi-objective sliding mode control algorithm. 467-473
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• Chunguang Li, Hongbing Xu, Xiaofeng Liao, Juebang Yu:
  Tabu search for CNN template learning. 475-479
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• Han-joon Kim, Sang-goo Lee:
  Building topic hierarchy based on fuzzy relations. 481-486
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• Raul Cristian Muresan:
  Pattern recognition using pulse-coupled neural networks and discrete Fourier transforms. 487-493
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• Ayca Kumluca Topalli, Ismet Erkmen:
  A hybrid learning for neural networks applied to short term load forecasting. 495-500
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• Haralambos Sarimveis, Alex Alexandridis, George Bafas:
  A fast training algorithm for RBF networks based on subtractive clustering. 501-505
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