Self-study fast BP algorithm 自适应快速BP算法
To BP neural shortcoming of network, study one dynamic self-adaptation is it study improvement type BP algorithm of parameter to adjust.
针对BP神经网络的缺点，研究了一种动态自适应调整学习参数的改进型BP算法。
High nonlinear problem which is often met in Chemical engineering, taking the study of tray leakage mode as example, is treated by adopted BP (back propagation) algorithm in artificial neural network.
针对化工中经常遇到的高度非线性问题，以塔板研究中的泄漏模型为例，采用人工神经网络中的BP(反向传播)算法进行处理。
Since we value the learning effect of neural networks by cumulative error, the paper pay direct attention to it to study the BP algorithm.
由于评价人工神经网络最终学习效果是通过累积误差来进行的，从而我们直接瞄准累积误差来研究多层人工神经网络快速学习的算法。
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