摘要
介绍了一种应用前向多层神经网络进行催化剂配方优化的方法．给出了神经网络算法的基本原理，步骤及网络结构，由实际数据得出了仿真结果．将仿真结果与以往方法的计算结果加以比较，证实了这种算法的可行性．这种算法对其它化工实验数据分析也有借鉴意义．
The artical presented a design method for the application of BP Netral Network in optimum direction for catalytic agent. It presented the principle of Netral Network, the method's procedure and the structure of the Network. It also gave the simulation result of experiment. Compared with other method before, this method was proved to be simple, practical and of high precision through analysis. And it is also helpful for other chemical expermental data analyzation.
出处
《北京轻工业学院学报》
1997年第1期10-13,共4页
Journal of Beijing Institute of Light Industry
关键词
神经网络
催化剂
配方
计算
Neutral Network
optimum
catalytic agent
direction
