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本程序采用matlab编程，通过设计训练一个人工神经网络来达到其对一个4传感器实时检测输出结果融合判断的模拟，文中涉及人工圣经网络和多传感器融合两们学科的基本知识。-the procedures used Matlab programming, through the design of a training artificial neural network to achieve its right to a four-detection sensor fusion output judgme
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BP算法是为了解决多层前向神经网络的权系数优化而提出来的；所以，BP算法也通常暗示着神经网络的拓扑结构是一种无反馈的多层前向网络-BP algorithm is to solve the multi-layer feedforward neural network weights optimization and put forward Therefore, BP algorithm usually implies that the topology of neural network is
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< 控制系统计算机辅助设计--MATLAB语言与应用>>系统地介绍了国际控制界最流行的控制系统计算机辅助设计语言MATLAB，侧重于介绍MATLAB语言编程基础与技巧、数学问题的MATLAB求解、线性系统计算机辅助分析、控制系统与其他复杂系统的Simulink建模，控制系统的计算机辅助设计方法，包括串联控制器、状态反馈控制器、多变量系统频域设计、PID控制器设计、最优控制器设计、LQG/LTR控制器设计、H2=H1 最优控制、分数阶控制、自适应控制、模糊控制、神经网络控制、遗传
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使用MATLAB实现BP神经网络（多层前馈神经网络）的设计。-Use MATLAB to achieve BP neural network (multi-layer feedforward neural network) design.
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Bayesian Multi Layer Perceptron Neural Network
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RNNSIM ver. 1.0 is a program with an intercative graphical user interface
(GUI) that runs under MATLAB ver. 5.0 or higher. The program can be used
in training and testing the Random Neural Network(RNN) models.
This version (ver. 1.0) impleme
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混沌时间序列 基于人工神经网络的一步或多步预测-Chaotic time series based on artificial neural network or multi-step prediction step
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第七章的多维非线性辨识的MATLAB程序例7.2用神经网络学习二维非线性函数
，是侯媛彬和汪梅的系统辨识课本上第七章的的实验。-Chapter VII of the multi-dimensional non-linear identification procedure Example 7.2 using the MATLAB neural network to learn two-dimensional nonlinear function, is Houyuan Bin and Wan
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神经网络控制 徐丽娜 多变量控制系统以及辨识-Neural network control of the the Lina multi-variable control system and identification
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神经网络PID控制 智能系统设计 多变量、单变量设计-The neural network PID control intelligent system design of multi-variable, single-variable design
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通过bp神经网络，读取水深和多光谱遥感图像的dn值，实现水深的反演功能-Bp neural network, read dn value of the water depth and multi-spectral remote sensing image inversion function of water depth.
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关于通用学习网络的算法程序，是一类全局递归多分支带延迟的神经网络-Universal Learning Network algorithm, neural network is a class of the global recursive multi-branch with delay
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径向基网络预测地下水位,采用多输入单输出的方法-RBF neural network forecasting of groundwater，Multi-input single-output method
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多变量输入、输出、多干扰、非线性和强耦合的复杂系统控制是一个比较困难的问题，常用的控制器可能因为多变量耦合问题难以控制系统。PID神经元网络是一种多层前向神经元网络，它的各层神经元个数、连接方式、连接权值是按照PID控制规律的已有原则和经验确定的，是一种动态的符合控制系统的前向网络。但是由于PID网络初始权值随机取值的原因，每次控制的效果都有所差别，个别情况下控制效果还比较差。本案例研究了基于PID神经元的多变量耦合系统控制，并用PSO算法来优化控制器以取得更好的控制效果。-Multivaria
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An important aspect of an ANN model is whether it needs
guidance in learning or not. Based on the way they learn, all
artificial neural networks can be divided into two learning
categories - supervised and unsupervised.
• In supervised l
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This the basic form of Artificial Neural Network (ANN) for classification of multi dot groups.-This is the basic form of Artificial Neural Network (ANN) for classification of multi dot groups.
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This the basic form of ANN(Artificial Neural Network) for classification of multi dot groups which are overlapped.-This is the basic form of ANN(Artificial Neural Network) for classification of multi dot groups which are overlapped.
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the combination of artificial neural network (ANN) and ant colony optimization (ACO) algorithm has been utilized for modeling and reducing NOx and soot emissions a direct injection diesel engine. A feed-forward multi-layer perceptron (MLP) network is
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感知神经网络学习，多层感知器完成异或功能实现代码，供交流学习使用-Perceptual learning of neural network, multi-layer perceptron perform the XOR function implementation code used by the exchange of learning
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MLP multilayer neural network
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