计算机辅助人工神经网络参数优化软件及其在缓释制剂处方优化中的应用

Artificial neural network parameters optimization software and its application in the design of sustained release tablets

摘要:
人工神经网络是一种多目标同时优化方法, 它需要使用者具备统计学基础, 并熟练掌握其原理以进行正确的参数设置。为简化其复杂的设置和调试过程, 本文采用VB语言编制了人工神经网络参数优化软件 (ANNPOS)。以盐酸川芎嗪为模型药物, 在其缓释制剂的处方设计过程中, 采用ANNPOS预先进行节点数、动量项、速率等网络参数的优化, 再使用Matlab 5.0神经网络工具箱进行多目标同时优化。实践表明, ANNPOS可以提高神经网络的优化效率。

Abstract:
Artificial neural network (ANN) is a multi-objective optimization method that needs mathematic and statistic knowledge which restricts its application in the pharmaceutical research area. An artificial neural network parameters optimization software (ANNPOS) programmed by the Visual Basic language was developed to overcome this shortcoming. In the design of a sustained release formulation, the suitable parameters of ANN were estimated by the ANNPOS. And then the Matlab 5.0 Neural Network Toolbox was used to determine the optimal formulation. It showed that the ANNPOS reduced the complexity and difficulty in the ANN’s application.