基于遗传神经网络的烧结终点预测系统

本文提供一种遗传神经网络来预估烧结终点的方法，利用遗传算法离线收索网络的连接权值和阈值，用增强型神经网络进行网络自适应在线学习。实际应用表明该网络具有较强的鲁棒性和泛化能力，并能对烧结工长提供操作指导。

A BUILDING OF THE GENETIC-NEURAL NETWORK FOR SINTER''''S BURNING THROUGH POINT

This paper presents the Genetic-Neural Network for Sinter's Burn Through Point since BTP control is the most important, which is tightly coupled with sinter ore quality. In off-line, advanced genetic algorithm (GA) is used to optimize the original connection weights and thresholds, and during on-line, hybrid neural network (HNN) inherited from the principle of backpropagation is used to train the map parameters and improve the system precision in each sampling period. The results obtained from the actual process demonstrate that the performance and capability of the proposed system are superior.