MEASURING OF GENERALIXATION CAPACITY FOR NEURAL NETWORKS
System model of recognition pattern process is presented. Conception of nondegenerated recognition scheme is introduced. Method of generalization capacity measuring for neural networks, which is suitable for small value of training set, is suggested. Methodology of the experiments is given. Results of the generalization capacity measuring for feed forward neural networks are shown.
Authors: A. Yu. Dorogov, V. C. Abaturov
Direction: Informatics, management and Computer Technology
Keywords: Neural network, generalization capacity, separating power, system model
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