Procedure neural networks ( pnn ) is a novel artificial neuron networks model . it is based on information processing pattern of biological neural system and application background of practical matters 过程神经元网络是根据生物神经系统信息处理机制并结合实际问题的应用背景提出的一种新的人工神经网络模型。
Because too much samples for training artificial neuron network are demanded , uniform design method is used to produce samples in order to reduce the amount of samples in the process of structural damage simulation 针对训练神经网络需要大量样本的情况,在结构损伤模拟的试验方案设计中,选用了均匀设计法构造样本以减少所需样本数量。
It has used to forecast the full - time teachers in higher educational institutions in zhejing province by grey model and the artificial neuron network . this paper has acquired the better calculation result based on the advanced bp algorithm 文中运用人工神经网络的技术,采用改进自适应学习速率和动量项系数的bp算法,对浙江省高等学校专任教师数进行有导师的训练和预测。
The application environment of artificial neuron network ( ann ) is very complex , and ann is always used to deal with a great lot data , so ann needs very powerful computational ability . then , we introduce grid and distribution conception into ann computational platform . such a platform tries to construct ann computational platform with grid 由于神经网络应用环境的复杂性及要求处理大量数据的问题,从而神经网络计算需要超强的计算能力,因此在神经网络计算平台中引入了网格和分布式的思想,力图建立一个基于网格的神经网络计算平台。
An artificial neuron is a mathematical function conceived as a crude model, or abstraction of biological neurons. Artificial neurons are the constitutive units in an artificial neural network.