Artificial intelligence

Abstract: In the article the application of neural networks with cascade architecture for approximation of functions, describing the conduct of the designed objects is offered. Principles of construction of cascade neural networks are described. Advantages of forming of neural network structure on cascade principle depending on the conduct of the probed object are shown. The examples of successful application of cascade neural networks are resulted for the decision of the applied tasks of design and prognostication.

Keywords:

References: