Wang Xuesong

Research on application of recurrent neural network in modelling jigging system of coal preparation plant

Recurrent neural network can describe complex nonlinear time-varying dynamic system. In this paper, model and unified mathematical description of recurrent neural network are presented. The BP algorithm to train this network is also presented. Finally, this network is applied to model jigging system of coal preparation plant. An example shows that this network has strong capability in dynamic approach.

Application of genetic algorithm to optimize product structure

After careful analysis of production, technology and management of a coal preparation plant, the mathematical model of product structure optimization for the coal preparation plant is constructed. Then the principle and steps of solving the product structure using a genetic algorithm are given. Finally, an example is given to verify the practicability of this method and which shows that this method can supply scientific laws for an enterprise to implement production planning.

Vapour temperature predictive control based on neuron prediction model

In accordance with the control characters of vapour temperature adjusting process, such as large time lag, large hysteresis and time varying parameters, etc., a kind of CAMIAX model of the process is suggested and the treatment of undetermined pure time lag is discussed. Based on the neuron learning mechanism, a kind of neuron identification algorithm of model parameters and the prediction model of the process are proposed. The predictive model combined with neuron controller constitutes vapour temperature loop control algorithm. The simulation results show the effectiveness of the approach.

Process out-of-control cause diagnosis of coal preparation plant based on fuzzy pattern recognition

A new method of fuzzy pattern recognition is proposed considering the importance of eigenvector in recognizing fuzzy patterns. Aiming at the coal preparation process of the coal preparation plant, the eigenvector of process out-of-control cause is attained by using of the integrated environment and other application systems of CIMS. The method to diagnose process out-of-control cause is given based on fuzzy pattern recognition. The data flow diagram of carrying out the system is also given.

A neural network fuzzy comprehensive evaluation for evaluating economic benefit of business firm

A method of fuzzy multiple comprehensive evaluation of economic benefit of business firm is proposed, which uses artificial neural network to analyze the weights of evaluation indices of economic benefit. In this way, the economic benefit of business firm can be analyzed and evaluated more directly and reasonably. A practical example is also given.