INFORMATION ENSURING EFFECTIVE USE NEURAL NETWORK TECHNOLOGY
Under the information support of artificial neural network (ANN) is understood the stored information or the models used by man or machine to interpret, predict and respond to external events [1]. The author of this research work answers the following questions: what information should be stored and how the information is physically present for subsequent use in neural networks. The author also shares a set of data on the positive and negative examples for effective training of the neural network. To reduce the chance of misinterpretation of the signal, the author of the analyzed example adds the signals obtained in the absence of the desired object. It is assumed that the implementation of the considered system measures will substantially improve the efficiency of an artificial neural network.