With the study of neural network model, this paper advances some of improvement and optimization techniques that can accelerate the learning speed of network and increase the stability of model.
本文从神经网络模型的结构出发，对学习算法提出了一系列改进和优化措施，以加快网络的学习速度，并增加模型的稳定性。
In order to correct the measuring results of moisture from microwave resonator, the IA-BP optimization algorithm based evolutionary neural network model is presented.
为了对微波谐振腔含水率测量结果进行校正，提出一种基于IA - BP优化算法的进化神经网络模型。
The Chaotic neural network model can be used to solve many multi-dimensioned, discrete, non-convex, nonlinear constrained optimization problems.
基于混沌神经网络模型可以有效地解决高维、离散、非凸的非线性约束优化问题。
In the third part, the prediction model of fuzzy optimal selection neural network based on chaotic optimization algorithm is studied.
第三部分对基于混沌优化算法的模糊优选神经网络预测模型进行研究。
Combining grading method with chaotic optimization, the neural network model achieves rapid training and avoids local minimum when there are a lot of samples to be trained.
考虑神经网络在训练大规模样品时易陷入局部极小，用梯度下降法与混沌优化方法相结合，使神经网络实现快速训练的同时，避免陷入局部极小。
As for the inadequate of BP neural network, PSO algorithm is used for its optimization, thus creating a hybrid neural network model for flood forecasting.
针对BP神经网络的不足，采用P SO算法对BP神经网络进行优化，建立一个混合的神经网络洪水预测模型。
In the algorithm, the radial-basis function neural network (RBFNN) is utilized as forward model, and the IGLSA is used to solve the optimization problem in the inverse problem.
该算法中，径向基函数神经网络(RBFNN)用作前向模型，IGLSA用于求解逆问题中的优化问题。
On the basis of researching the optimization of neural network through ant colony algorithm, the mine hoist reducer gear failure diagnosis model is established.
在研究蚁群优化神经网络训练算法的基础上，建立了矿井提升机减速器齿轮故障诊断模型。
The neural network is used as predictive model. Golden Section is used in the optimization of controller. The variable searching region is set by the constraints of system inputs.
该算法以神经网络作为预测模型，以黄金分割法用于优化控制器，其中以系统输入的约束条件作为黄金分割法的动态搜索区间。
This paper presented particle swarm optimization (PSO) technique to train multi layer artificial neural network for predicting model of diameter errors of boring processes.
采用粒子群算法对镗孔加工尺寸误差人工神经网络预测模型进行优化。
Take the milling for the example, the mathematic model of cutting for the greatest productivity is established, and the optimization is realized by the method of artificial neural network.
并以铣削为例，建立最高生产率为目标的数学模型，通过人工神经网络的方法进行优化。
Take the milling for the example, the mathematic model of cutting for the greatest productivity is established, and the optimization is realized by the method of artificial neural network.
并以铣削为例，建立最高生产率为目标的数学模型，通过人工神经网络的方法进行优化。
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