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;

Prediction system of CTOD for high strength pipeline steel welded joint based on back propagation artificial neural network;

Modeling and optimization of release salidroside microcapsules manufacturing process based on artificial neural network and genetic algorithm;

Process parameters optimization of sheet metal forming in drawing process based on the technology of genetic algorithm and artificial neural network;

Optimizing the Extracting Technics of the Chinese Herbal Medicine by ANN;

Fault trend prediction of mining machine based on ANN;

Fault Trend Prediction of Mining Machine Based on ANN;

The measure to grade the coal and gas outburst based on the nerve network;

Identification BP nerve network model base on parameters of gas emission coal mining face;

The Using of the BP Algorithm of Nerve Network in the Fault Diagnosis to the Asynchronous Machine;

Assessment of groundwater denitrification by artificial neural networks

The artificial neural networks (ANN) is a new information processing method which developed rapidly in recent years, and is a intelligent system which simulates the human brain organizational structure and intelligent behavior based on the simulation of human brain operational mechanism.

Mainly using Artificial Neural Networks and the theory analytic method, taking the related theory of sports biology mechanics and symbolic logic as the basis, to build up aerobics forecasting mock-up.