The dynamic graphical simulator which realizes the dynamic procedure simulation of artificial neural network is driven by and belongs to this environment.
动态图形模拟器是从属于集成环境，并受之驱动的专用模拟器，它实现了神经网络动态变化过程的模拟。
Based on the theory of statistics, this dissertation investigates neural network classifiers realized with software simulation in the computer.
本文以统计理论为基础，主要讨论在计算机上用软件模拟实现的神经网络分类器。
It mainly introduces new methods of diagnosing simulation circuit trouble and testing principles, explains the scheme of choosing neural network structure parameter especially.
主要介绍了模拟电路故障诊断的新方法及测试原理，重点讲解了神经网络结构中参数选择方案。
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