WSEAS Transactions on Information Science and Applications
Print ISSN: 1790-0832, E-ISSN: 2224-3402
Volume 17, 2020
Neural Network Effectiveness Evaluation While the Intersection of Images in the Receptor Field
Authors: ,
Abstract: The study and application of neural networks is one of the main areas in the field of artificial intelligence. The effectiveness of the neural network depends significantly on both its architecture and the structure of the training set. This paper proposes a probabilistic approach to evaluate the effectiveness of the neural network if the images intersect in the receptor field. A theorem and its corollaries are proved, which are consistent with the results obtained by a different path for a perceptron-type neural network.
Search Articles
Keywords: neural network, receptor field, training sequence, exciting and inhibiting connections, probability of excitation, intersection of images
Pages: 172-176
DOI: 10.37394/23209.2020.17.21