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Distortion invariant pattern recognition is interesting problem from the biological and technological point of view, however, it has not yet been solved by neural networks in satisfactory way. This paper investigates a associative neural network system to improve the recalling accuracy for distortion patterns. On a neural network of perceptron type with feedback, error back-propagation algorithm and...
The learning behavior of variable-structure stochastic automata in a three-person zero-sum game is investigated. The game has three variable-structure stochastic automata and a random environment. In the game the players do not possess prior information concerning the payoff matrix, and at the end of every play all the players update their own strategies on the basis of the response from the random...
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