...工神经网络的体系结构，并找到一个最佳的连接模式和重量，以减少结构的复杂性，通过最小化的连接权值的前馈人工神经网络（FFANN）。他们被称为粒子群优化的神经网络系统（PSONN）。
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多层前馈人工神经网络 MLFFANN
多层前馈人工神经网络在装备故障诊断中的应用含设备运行状态特征值设定和故障判定。
The application of multi-layer feed-forward artificial neural network in fault equipment diagnosis includes feature value setting of equipment operation condition and fault judgment.
以人工神经网络的前馈型网络为基础结构，基于反向传播算法进行学习和训练来拟和证券价格指数的运动趋势。
In this model, back propagation algorithm based on forward networks was conducted to learn information of historical data and to train the network weights.
本文介绍了人工神经网络基本原理和常用的前馈式网络模型，并将该模型理论应用到水库优化调度之中。
The paper introduces the keystone of the artificial nerve network and the usual forward feedback network model. And the model theory was applied in the reservoir optimum operation.
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