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BP神经网络的训练样本集容量
引用本文:石琳珂.BP神经网络的训练样本集容量[J].华北地震科学,1995,13(2):26-30.
作者姓名:石琳珂
作者单位:国家地震局地球物理勘探大队
摘    要:本文试图解释用BP神经网络解界面反问题时效果不佳的原因。文中首先从信息量的角度提出了BP神经网络训练本集容量的概念,给出了它的定义及组织训练样本集时应遵循的原则和方法。对于如何用BP神经网络解界面反问题,给出了其基本步骤,并根据上述训练样本集容量的概念及界面反总理的特殊性,给出了组织界面反问题训练样本集的方法。

关 键 词:网状图象  界面  神经网络  训练样本集  容量

THE CAPACITY OF TRAINING SAMPLE SET FOR BP NEURAL NETWORK
Shi Linke.THE CAPACITY OF TRAINING SAMPLE SET FOR BP NEURAL NETWORK[J].North China Earthquake Sciences,1995,13(2):26-30.
Authors:Shi Linke
Abstract:This paper tries to explain the reason that the result obtained from solving the inversion of interfaces using BP neural networks is not satisfactory. Firstly, the concept that capacity of the training sample set is used for BP neural network was introduced in terms of information quantity in this paper,and its definition was also given. The principle and method used in forming a training sample set were presented. Secondly, the basic procedure solving the inversion of interfaces using BP neural networks was given. Finally, the above-mentioned concept and method were applied to an examlpe of inversion of interfaces. By analysing the example carefully, the author pointed out what difficulty was encountetred in solving the inversion of interfaces using BP neural network.
Keywords:network image  interfaces  model  
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