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Artificial Neural Network Plus Back Propogation
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人工神经网络MATLAB源程序此MATLAB程序用于人工神经网络(Artificial neural network MATLAB source this MATLAB procedure for artificial neural network)
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人工智能的神经网络中的自动编码器,其为matlab环境下运行(An automatic coder in artificial intelligence neural networks)
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主要用于构建人工神经网络模型,用于数据预测分析(It is mainly used to build artificial neural network model for data prediction and analysis)
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人工神经网络 利用BP网络进行简单的图像去噪(Artificial neural network image denoising)
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The commonly used digital signal modulation based on artificial neural network, Using high-order cumulants of MPSK signal modulation recognition, There Wavelet Analysis Blind Signal Processing.
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基于人工神经网络,通过原位测量得到的海底沉积物的声速值来反演海底沉积物的物理力学性质(Based on artificial neural network, the physical and mechanical properties of seafloor sediments are retrieved by the sound velocity of seafloor sediment measured in situ)
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Can realize the two-dimensional data clustering, The commonly used digital signal modulation based on artificial neural network, Based on negative entropy largest independent component analysis.
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用Matlab对人工神经网络的分析及应用,并附有代码(Analysis and application of artificial neural network with Matlab, and attached code)
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通用神经网络代码,适用于大多数普通场合使用和进一步开发(artificial neural network)
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wolf calculated Lyapunov exponent, Is a practical method of path planning, The commonly used digital signal modulation based on artificial neural network.
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25种人工神经网络模型matlab源码 帮你轻松揭开神经网络神秘的面纱!(25 artificial neural network model matlab source code to help you easily reveal the mysterious veil of neural network!)
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Matlab的人工神经网络程序和模拟退火程序及其说明(Matlab artificial neural network program and simulated annealing program and its descr iption)
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上篇介绍数学建模中常规方法的matlab实现,包括matlab交互、数据建模、程序绘图、灰色预测、规划模型等方法;还介绍了各种高级方法的matlab实现,包括遗传算法、粒子群算法、模拟退火算法、人工神经网络、小波分析、动态仿真、数值模拟等。下篇以真实的数学建模赛题为案例,介绍了如何用matlab求解实际的数学建模问题,给出了详细的建模过程和程序(The introduction of conventional methods of mathematical modeling in matlab
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人工神经网络的MATLAB简单例程,可供初学者学习了解(Artificial neural network MATLAB simple routines for beginners learning to understand)
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遗传算法优化的神经网络代码,添加数据文件,更改输入输入参数,可直接运行(artificial neural network optimized by ga)
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人工神经网络(Artificial Neural Networks,简写为ANNs)是一种模仿动物神经网络行为特征,进行分布式并行信息处理的算法数学模型。这种网络依靠系统的复杂程度,通过调整内部大量节点之间相互连接的关系,从而达到处理信息的目的,并具有自学习和自适应的能力。(Artificial neural network is an algorithm mathematical model that mimics the behavior characteristics of animal
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BP神经网络基本原理概述:这种网络模型利用误差反向传播训练算法模型,能够很好地解决多层网络中隐含层神经元连接权值系数的学习问题,它的特点是信号前向传播、误差反向传播,简称BP(Back Propagation)神经网络。BP学习算法的基本原理是梯度最快下降法,即通过调整权值使网络总误差最小,在信号前向传播阶段,输入信号经输入层处理再经隐含层处理最后传向输出层处理;在误差反向传播阶段,将输出层输出的信号值与期望输出信号值比较得到误差,若误差较大则把误差信号传回隐含层直至输入层,在各层神经元中使用
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基于BP人工神经网络的数字字符识别及MATLAB实现。(Digital character recognition and MATLAB implementation based on BP artificial neural network.)
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BP人工神经网络以及基于BP人工神经网络的MIV变量筛选,用于建立预测模型以及关键工艺参数筛选(BP artificial neural network and MIV variable selection based on BP artificial neural network are used to build prediction models and key process parameters.)
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