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。
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。
The optimization design method is proposed for feed-forward neural network structure by means of chaos ergodicity and randomicity.
提出一种关于多层前向神经网络结构的混沌优化设计方法。
Researching the applications of neural network techniques in the area of microwave circuits CAD and optimization design is one of the front edge issues in nonlinear microwave electronics domains.
神经网络在微波电路CAD和微波电路优化中的应用是目前非线性微波电路研究领域中的前沿课题之一。
In essence, learning in artificial neural networks is an optimization process, that is, an artificial network adjusts the weights of the network on its concrete error information.
从本质上讲，人工神经网络的学习过程是一个优化的过程，即根据具体的误差信息来合理地选择网络的权重。
This paper surveys the application of classical optimization theory, artificial intelligent and neural network to FMS's control.
本文详细分析和研究了传统的优化理论、人工智能和神经网络在FMS优化控制中应用的适应性及各自的特点。
Present applications of neural network are as follows: pattern-recognition, self-adaptation control, market analysis, decision optimization, prediction analysis, knowledge processing, etc.
当前神经网络的主要应用领域有：模式识别、自适应控制、市场分析、决策优化、预测分析、知识处理等。
Optimization of corona ring design for EHV composite insulator using finite element and neural network method.
基于有限元和神经网络方法对超高压合成绝缘子均压环结构优化的研究。
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。
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。
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。
A new algorithm based on neural network models is also presented, in which the neural networks are employed to express the membership function of fuzzy sets and solve the optimization problems.
该算法分别采用神经网络模型进行模糊集隶属函数的表达及优化问题的求解，从而将模糊优化同神经网络有机地结合起来。
The technology optimization of electroless plating can be predicted by BP neural network and orthogonal experiment.
利用BP神经网络预测模型融合正交实验法对化学镀工艺进行优化。
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。
This paper puts forward the optimization algorithm of BP neural network on the basis of the introduction of the neural network basic principle: BP-1 algorithm.
本文在介绍神经网络基本原理的基础上，提出了BP神经网络的优化算法BP - 1算法。
Simultaneity optimization for structure and weight distribution of neural network belongs to two class evolutionary method.
神经网络结构及权值优化属两级进化方法。
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。
Another is to examine faults of asynchronous Motors in terms of BP neural network based on Particle Swarm Optimization (PSO).
二是利用基于粒子群算法(PSO)优化的BP神经网络进行异步电机故障诊断。
In this paper, several artificial neural network based models of solving inverse eigenvalue problem and their characters are studied. These models are direct, indirect and optimization inverse models.
研究了特征值反问题求解的几种神经网络模型：直接逆模型，间接逆模型，优化方法模型，指出了各种方法的应用范围。
Particle Swarm Optimization as a Swarm Intelligence algorithm, has strong global search capability, can be used for training neural network to overcome the defect of BP algorithm.
然而在粒子群优化算法中，早熟现象时有发生，从而制约了算法的性能。
To ride of the shortage of the id, we study on the extraction of the features, id method based on fuzzy neural network, and algorithm optimization and so on.
为克服现有入侵检测存在的不足，本文从特征提取、模糊神经网络应用于入侵检测、算法优化等方面进行了系统研究。
Result is recorded with requirement of testing. And coal intelligently processing realize successfully through utilizing BP neural network theory of fuzzy optimization.
结果符合试验要求，成功地实现了利用模糊优选BP神经网络进行智能化选煤。
In this paper, some intelligent optimization control technologies, such as pattern recognition, neural network and expert system, and their application on the process of oil making are discussed.
简单介绍了模式识别、神经网络和专家系统等智能优化技术及其在石油炼制过程中的应用。
The application of artificial neural network-genetic algorithm in optimization of extraction process of soluble fiber from mungbean residue was studied.
探讨了人工神经网络和遗传算法在酶法提取绿豆渣水溶性纤维素工艺优化方面的应用。
The application of artificial neural network-genetic algorithm in optimization of extraction process of soluble fiber from mungbean residue was studied.
探讨了人工神经网络和遗传算法在酶法提取绿豆渣水溶性纤维素工艺优化方面的应用。
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