No. 7, 2011
- The neurocomputer science paradigm pp. 3-9
- Two level erosion-based clustering method for RBF networks training on incomplete data pp. 10-19
- Increase of accuracy of approximation of the non-stationary data linear neural network by a cortege-method of training set pp. 20-26
- Increase of stability of functioning of the automated system at the expense of perfection of system of detection information-technical influences pp. 27-31
- The development of the neural network module for monitoring of abnormal network activity pp. 32-38
- Convergence of weights of a two-layer linear neural network at construction of optimum linear estimations of casual vectors pp. 39-48
- The comparative analysis of quality indicators neural networks systems of automatic control with various models pp. 49-54
- Factor sampling and observation under data incompleteness for control neural network modelling pp. 55-57
- Retina inversion and visual fiber crossings as mirror transformation mechanisms to topographic projections of vision fields pp. 58-73
- Oscillatory neural networks with chaotic dynamics in application to cluster analysis pp. 74-86