Neural Network Effectiveness Evaluation While the Intersection of Images in the Receptor Field
Siranush Sargsyan, Anna Hovakimyan · WSEAS Transactions on Information Science and Applications archive · 2021
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.