An artificial neural network algorithm, based on variable slope BP algorithm and conjugate gradient algorithm, is presented in this paper.
在常规算法的基础上，提出了一种基于变斜率算法与共轭梯度算法的接力逆向传播算法。
A novel neural network is proposed, which solve the programming problems with linear restraints based on gradient projecting matrix.
提出了一种基于梯度投影矩阵下的求解线性约束下规划问题的神经网络。
Neural network BP training algorithm based on gradient descend technique may lead to entrapment in local optimum so that the network inaccurately classifies input patterns.
基于梯度下降的神经网络训练算法易于陷入局部最小，从而使网络不能对输入模式进行准确分类。
We proposed a Compton scattering imaging model based on energy spectrum, and introduced a coupled gradient neural network implementation of this imaging problem.
提出了基于能量谱的康普顿散射成像模型，引入一种耦合梯度神经网络实现该模型下的康普顿散射成像。
The paper proposes an adaptive neural network PID controller based on weighlearning algorithm using the gradient descent method for the AC position servosystem of binding and printing.
针对包装印刷传动位置伺服系统，介绍一种基于共轭梯度学习算法的神经网络自适应PID控制方法。
We proposed a Compton scattering imaging model based on energy spectrum, and introduced a coupled gradient neural network implementation of this imaging problem. Successful results were obtained.
提出了基于能量谱的康普顿散射成像模型，引入一种耦合梯度神经网络实现该模型下的康普顿散射成像。得到了成功的结果。
On the basis of the analysis of factors affecting the river water level, the BP neural network model, based on the gradient descending algorithm, is used to calculate the river water level.
在分析影响河道水位因素的基础上，采用基于梯度下降算法的BP神经网络模型推算河道水位，同时采用传统的上下游水位线性相关方法进行水位推算。
On the basis of the analysis of factors affecting the river water level, the BP neural network model, based on the gradient descending algorithm, is used to calculate the river water level.
在分析影响河道水位因素的基础上，采用基于梯度下降算法的BP神经网络模型推算河道水位，同时采用传统的上下游水位线性相关方法进行水位推算。
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