Application of neural networks to heat transfer calculation in a round billet continuous casting mould;

Stock Price Forecasting Based on Neural Networks;

Aimed at a typical object in petrochemical industry, an intrinsically non-linearthird order lag with dead-time and non-minimum phase, this paper reports that an identifier and a controller have been constructed based upon neural networks, of which the fundamentals, architecture, simulation results and the author's analysis and proposals are alsopresented.

Application of neural network in calculation of steel quenching degree;

Multi-variable PID neural network control systems and their application to coordination control;

Optimization system of utility boiler combustion based on neural network;

Application of PSO-based multivariable-PID neuron network in ball mill control;

The Comprehensive Test of Some Type Missile and Neuron Network Based Simulation Diagnosing;

As to its multi-variable, strong coupling, nonlinear, time-varying characteristics, the control method of multi-variable PID neuron network for ball mill was introduced, its time-changing characteristic at different working conditions was described by multi-models, the PID neuron network was used as decoupling controller for each model.

Take Pingdingshan mining area for example, variable rule of mining cost with time is determined by using Scurve, prediction models of coal mining cost, using method of artificial neural network and stabilizing linear regression, are built.

In this paper, a novel methodology of integration filter made up of artificial neural network (ANN) and linear adaptive filter (LAF) was proposed to remove noise from spectral signal(SS).

The intervals of main roof weighting at work faces were predicted by using artificial neural network.