The novel algoritm of a neural network synthesis is considered. It makes possible to get a logically transparent neural network models of different objects and processes. Such models are very useful for a knowledge extraction from the data and analysisof a data topology. The algoritm based on a cluster-regression approximation and allows to form a network topology and evaluate neural network weights in a non-iterative mode.

обчислювальна математика, вычислительная математика