The vector spectrum and the Levenberg-Marquardt(L-M) neural network were discussed;the fault diagnosis method for rotary machinery based on vector spectrum and the L-M neural network was put forward,and the L-M neural network model was established.

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;