Based on the inspecting and discriminating the nonlinearities structure of the exchange rate system by using the method of surrogate data,the optimal lag periods for each specific exchange rate series was computed,then we adopt both the structure of multi-layer perceptrons(MLP) and recurrent neural networks(RNN2) to build the homogenous ANN model.

Cluster learning algorithm of synergetic neural network;

This text solves the basic and important frequency estimate problem in communication by synergetic neural network.

Due to the shortages of optimization algorithms available in synergetic neural network(SNN),an algorithm of parameters optimization on immunity clonal algorithm(ICA) was proposed here.

An improved learning algorithm of synergetic neural networks is proposed after studying the synergetic gradient dynamics procession.

This paper introduces the basic thought of synergetic neural nets and researchs yst application in pattern recognition technique, including dynamical model, nets structure and learning alogorithm.

This paper introduces a new Artificial Neural Nets - Synergetic Neural Nets(SNN) raised by H.

Metal magnetic memory signal recognition by neural network for welding crack;

Study on a neural network model to predict the mechanical properties of high speed heavy rail steel at Pan Steel;

Application of BP neural network in prediction of temperature rise for die cavity;

Quantitative analysis of artificial intelligence neural networks in risk assessment of gas accidents in coal mine;

Influence of data on the quality of mine tremors hazard assessment using neural networks;

Chinaware bottle lid color matching based on neural networks;