本文简要介绍BP神经网络(BPNN, Back Propagation Neural Network)的思想。 BP神经网络是最基础的神经网络,其输出结果采用前向传播,误差采用反向(Back Propagation)传播方式进行。BP神经网络是有监督学习,不妨想象这么一个应用场景:输入数据是很多银行用户的年龄、职业、收入等,输出数据是该用户借钱后是否还贷。作为银行风控...
反向传播神经网络(Back propagation neural network ,BPNN) 文章目录 BPNN 前向传播 反向传播 总结 参考 BPNN BPNN被认为是最常用的预测方法,BPNN模型的一般结构如下图所示,它由输入层、隐层和输出层三层组成,其中隐层在输入层和输出层之间传递着重要的信息。 BPNN总是由一个或多个隐藏层组成,从而允许网络对复杂功...
1) back propagation neural network 反向传播神经网络算法 1. In the design of algorithm,back propagation neural network(BPNN)is introduced to feedback the signals from monitoring terminals and . 支持向量机理论将间谐波这个非线性问题变换到更高维的空间中进行线性回归,它基于迭代权调整最小二乘法,引入反向...
This paper proposed non-linear approach specific Back-Propagation Neural Network (BPNN) to determine gender from sacrum bone. Sacrum bone is one part of the body that is usually regarded as the most reliable indicator of sex. The data used in the experiment were taken from previous research, ...
研究以台东县池上乡山棕寮地滑地为例,利用倒传递类神经网络(BPNN)具有建构高复杂且非线性关系方式预测坡面位移变化。 更多例句>> 3) Back-propagation Network 倒传递网络4) recurrent neural network 递归神经网络 1. Safety monitoring model of Lijiaxia Arch Dam based on recurrent neural network with bias...
5) error back-propagation neural network 误差反向传播神经网络 1. According to failure cases of plastic electronic packaging component SOT in the use, dimension parameters of plastic electronic packaging component SOT were designed with a proposed optimal design method, which combined error back-...
1)back propagation neural network(BPNN)BP神经网络(BPNN) 1.Some are desired parameters,the location and the size,of a two-dimensional(2-D) target,like a cylinder above a random rough or a ship on the sea surface is reconstructed by the back propagation neural network(BPNN) and the support...
(DGA), transformer oil integrity analysis, visual inspections, and two Back Propagation Neural Network (BPNN) algorithms to predict the loss of life (LOL) of the transformers through condition monitoring of the cellulose paper. The first BPNN algorithm proposed is based on forecasting the degree ...
According to its features a short-term load forecasting model is built in which the autoregressive integrated moving average (ARIMA) is integrated with back propagation neural network (BPNN). 该模型利用ARIMA方法对线性时间序列逼近能力强的特点首先对预测日负荷进行预测,然后应用BP神经网络方法对预测结果进...
反向传播神经网络(Back propagation neural network ,BPNN) 文章目录 BPNN 前向传播 反向传播 总结 参考 BPNN BPNN被认为是最常用的预测方法,BPNN模型的一般结构如下图所示,它由输入层、隐层和输出层三层组成,其中隐层在输入层和输出层之间传递着重要的信息。 BPNN总是由一个或多个隐藏层组成,从而允许网络对复杂...