The existing VLSI neural network design method based on the pulse width modulation (PWM) technique is modified in this paper.
改进了现有的基于脉宽调制(PWM)技术的VLSI神经网络设计方式。
The latter two of my design goals above can be fulfilled neatly by a neural network (assuming that the original computational problem can be solved with such a network, of course).
通过神经网络可以很好地实现上面提到的后两个设计目标(当然，假设初始计算问题可以通过此网络解决)。
First, it researches the category and design process of the fault diagnosis model based on neural network. The model includes 6 categories and 5 design processes.
首先研究了基于神经网络的故障诊断模型的分类和设计步骤，并将诊断模型大体分为6类和5个设计步骤；
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。
According to the theory of Artificial Neural Network and Expert system, a design conceit fault diagnosis and dealing system of substation based on Neural Network and Expert system is presented.
根据人工神经网络和专家系统理论，提出了基于人工神经网络和专家系统的变电站故障诊断和处理系统的设计构想。
The design of the predictive control system based on Neural Network include designing control object model, designing predictive model and designing controller model.
本文设计了基于神经网络技术的预测控制系统，包括控制对象模型的设计、预测模型的设计和控制器的设计。
Artificial Neural Network controller is proposed in this paper to design the new power flow control for SSSC.
提出了一种应用神经网络控制策略为静止同步串联补偿器(SSSC)设计的新型潮流控制器。
Selection of a good activation function is an important part of the design of a neural network.
一个良好的激活函数的选择是对的神经网络设计的重要组成部分。
Based on this idea, we design and develop a Neural Network-Based Network Intrusion Detection System prototype.
基于这个思路，我们设计并实现了一个基于神经网络技术的网络入侵检测系统原型。
Then a three-dimensional deformation inversion analysis is conducted by orthogonal design method and neural network to acquire the distribution rule of rock body ground stress field at various depths.
在此基础上，采用正交设计方法和神经网络进行了岩体地应力场三维变形反演分析，获得了岩体地应力场沿深度的分布规律。
This thesis constructs an IDS based on RBF neural network, which gives the basic thinking of design and the arithmetic, the method of collection and beforehand disposal way of the sample data.
本文主要构建了一种基于RBF神经网络的入侵检测系统，给出了基本的设计思想和算法，以及样本数据的收集和预处理方法。
An optimization algorithm design based on chaotic variable is proposed for multilayer fuzzy neural network.
提出了一种基于混沌变量的多层模糊神经网络优化算法设计。
The design of adaptive controller for the chaotic neural network model reference is studied.
研究了非线性的神经网络模型参考自适应控制器设计问题。
Using this improved evolutionary neural network, the complex relationship between the design parameters and the stability after reinforcement and the cost of the project is expressed successfully.
利用此进化神经网络较准确地表达了滑坡加固方案中设计参数与加固后滑坡的总体稳定性和工程造价之间的复杂映射关系。
In the design of neural network, optimizing algorithm of DFP is used and reference value for real time application in aerial combat is provided.
在神经网络设计中，采用了变尺度优化算法，提高了算法的速度和精度，对空战的实时应用提供了重要的参数价值。
A design scheme of optimal RBF fuzzy neural network controller is proposed based on artificial immune principle.
提出了一种基于人工免疫原理的最优r BF模糊神经网络控制器设计方案。
A design method of adaptive IIR filtering based on the energy function of neural network is presented.
基于神经网络理论中能量函数的概念，提出了一种自适应IIR滤波器的设计方法。
Methods and steps using the MATLAB neural net tool kit to design BP network are introduced in detail.
文章详细论述了利用MATLAB神经网络工具箱设计BP网络的方法和步骤。
And on the basis of it, a neural network optimal design method based on orthogonal experiment method is carried out.
在此基础上，提出一种基于正交试验法的神经网络优化设计方法。
The robust adaptive flight control system design with neural network of attack helicopter is studied in this dissertation and super maneuver nimble of attack helicopter is realized.
本文就武装直升机大机动、高敏捷性神经网络鲁棒自适应飞行控制系统的设计问题展开研究。
Emphasis is put on the fuzzy logic control, neural network control, and both crossed neural network with fuzzy control system along with its application and design.
文章着重介绍模糊逻辑控制、神经网络控制以及它们的交叉结合的神经网络-模糊控制系统及其应用与设计。
The paper comprehensively USES the superiority of fuzzy pattern recognition over rejecting noise information and BP neural network on simulation to design a new algorithm named fuzzy neural network.
文章在综合利用模糊模式识别剔除噪音信息和BP神经网络拟合优势的基础上，设计了模糊神经网络新算法。
In allusion to insufficiency of design retrieval based on similarity, the Neural Network is introduced into design of case retrieval and a model based Neural Network is proposed.
针对基于相似度范例检索存在的不足，将神经网络引入设计检索的研究之中，提出了基于神经网络的设计检索模型。
Design for robust controller of uncertain neural network with time-varying delay was analyzed.
对不确定变时滞神经网络系统的鲁棒控制器的设计进行了分析。
Aiming at the design difficulty for fuzzy neural network controller, an immune evolutionary algorithm is proposed to design the parameters of a radial basis function fuzzy neural network controller.
针对模糊神经网络控制器难于设计的问题，提出了一种免疫进化算法用于径向基函数模糊神经网络控制器参数的优化设计。
Aiming at the design difficulty for fuzzy neural network controller, an immune evolutionary algorithm is proposed to design the parameters of a radial basis function fuzzy neural network controller.
针对模糊神经网络控制器难于设计的问题，提出了一种免疫进化算法用于径向基函数模糊神经网络控制器参数的优化设计。
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