Study on learning algorithm in higher-order neural networks model;

GSBAR learning algorithm based on genetic programming;

Cluster learning algorithm of synergetic neural network;

Model and Applied Study of Malfunction Diagnosis of Public Transportation Electric Automobiles Based on Study Algorithm;

A novel study algorithm of the network was presented based on fuzzy reasoning rule and numerical method for differential dynamic systems.

In this paper,the network structure will be transformed to get an more efficent convergence,and provide study algorithm.

BP network s structure design and learning algorithms in unknown nonlinear system identification are analyzed.

Owing to the complex weights adjustment and low convergence speed of routine fuzzy neural network learning algorithms,a fuzzy hierarchy error approach(FHEA) was adopted to adjust the weights of fuzzy neural network.

This paper gives a comprehensive overview about agent learning algorithms used in economic complexity system research.

A novel neural network training algorithm based on generalized objective function

Discussed the training algorithms and its features of multilayer feedforward neural networks,and derived a fast training algorithm based on the layer by layer optimizing procedures.