We proposed a Compton scattering imaging model based on energy spectrum, and introduced a coupled gradient neural network implementation of this imaging problem.

This paper presents the algorithm of the adaptive control of the neural network in coke furnace Object.

We foresee the applicability of binary neural networks to a number of engineering problems.

The PD feedback controller is used as a general feedback controller to guarantee global stability,and its output is fed to the neural network as the reference signal.

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;