Наиболее интересные статьи и книги в оригинале :

• Комарцева Л.Г. Автореферат докторской диссертации на тему: "Исследование нейросетевых и гибридных методов и технологий в интеллектуальных системах поддержки принятия решений". - 69 kb
• Н.Г.Горбушин ИНТЕЛЛЕКТУАЛЬНЫЕ СРЕДСТВА СИНТЕЗА ЗНАНИЙ В СИСТЕМЕ БИОСФЕРА И ЧЕЛОВЕЧЕСТВО - 287 kb
• AN INFORMATION APPROACH TO REGULARIZATION PARAMETER SELECTION FOR THE SOLUTION OF ILL-POSED INVERSE PROBLEMS UNDER MODEL MISSPECIFICATION (диссертация PhD на английском) - 708 kb
• Лекции по нейронным сетям на английском (читаются в университете США) - 585 kb
• Генетические алгоритмы и нейронные сети
• Accelerating neural network training using weight extrapolations (from NN magazin)
• Bayesian neural networks for classification: how useful is the evidence framework? (from NN magazin)
• Efficient perceptron learning using constrained steepest descent (from NN magazin)
• An efficient learning algorithm for improving generalization performance of radial basis function neural networks (from NN magazin)
• Statistical estimation of the number of hidden units for feedforward neural networks (from NN magazin)
• Independent component analysis for noisy data - MEG data analysis (from NN magazin)
• A new perspective in learning pattern generation for teaching neural networks (from NN magazin)
• Local minima and plateaus in hierarchical structures of multilayer perceptrons (from NN magazin)
• Dynamics of multilayer networks in the vicinity of temporary minima (from NN magazin)
• An analysis of learning control by backpropagation through time (from NN magazin)
• A novel learning algorithm which improves the partial fault tolerance of multilayer neural networks (from NN magazin)
• Subset-based training and pruning of sigmoid neural networks (from NN magazin)
• Weight decay backpropagation for noisy data (from NN magazin)
• Derivation of the multilayer perceptron weight constraints for direct network interpretation and knowledge discovery (from NN magazin)
• On the momentum term in gradient descent learning algorithms (from NN magazin)
• A learning algorithm for oscillatory cellular neural networks (from NN magazin)
• Generalized radial basis function networks for classification and novelty detection: self-organization of optimal Bayesian decision (from NN magazin)
• A regularization approach to continuous learning with an application to financial derivatives pricing (from NN magazin)
• A self-supervised learning system for pattern recognition by sensory integration (from NN magazin)
• Smaller nets may perform better: special transfer functions (from NN magazin)
• Neural classifier construction using regularization, pruning and test error estimation (from NN magazin)
• Kevin Gurney (part 1)
• Kevin Gurney (part 2)
• Kevin Gurney (part 3)
• Kevin Gurney (part 4)
• Kevin Gurney (part 5)
• Kevin Gurney (part 6)
• Kevin Gurney (part 7)
• Kevin Gurney (part 8)
• Kevin Gurney (part 9)
• Kevin Gurney (part 10)
• Machine Learning, Neural and Statistical Classification
• NN FAQ ( 7 parts )
• С.Короткий Нейронные сети: алгоритм обратного распространения (в статье рассмотрен алгоритм обучения нейронной сети с помощью процедуры обратного распространения, описана библиотека классов для С++)
• Neural Network Toolbox (For use with MATLAB)
• Теория и практика нейрокомпьютинга (пер на рус)

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