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误差反向传播网络(Back propagation network,简称BP网络)是神经网络中最活跃的方法,且绝大多数采用了三层结构(输入层、一个隐含层和输出层).BP网络是一种非线性映射人工神经网络.本程序用vb实现的bp算法-error back-propagation network (Back propagation network, called BP) neural network is the most active, but the majority adopted a thre
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人工神经网络(Aartificial Neural Network,下简称ANN)是模拟生物神经元的结构而提出的一种信息处理方法。早在1943年,已由心理学家Warren S.Mcculloch和数学家Walth H.Pitts提出神经元数学模型,后被冷落了一段时间,80年代又迅猛兴起[1]。ANN之所以受到人们的普遍关注,是由于它具有本质的非线形特征、并行处理能力、强鲁棒性以及自组织自学习的能力。其中研究得最为成熟的是误差的反传模型算法(BP算法,Back Propagation),它的网络
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In optics and acoustics this equation describes the propagation of
electromagnetic or pressure waves through some non-homogenous
medium.
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This program simulates a 3 or 4-layer Neural Network, and can be used to
simulate an arbitrary, complex, or non-linear function that would be
difficult to implement by traditional methods. The Back Propagation
method is used "teach" the net
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模拟超声波传播过程中非线性现象,输出非线性畸变波形-Simulation of ultrasonic wave propagation in non-linear phenomena,Non-linear distortion output waveform
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反向传播网络(Back-Propagation Network,简称BP网络)是将W-H学习规则一般化,对非线性可微分函数进行权值训练的多层网络
-Back Propagation Network (Back-Propagation Network, referred to as BP networks) is to learn the rules WH generalized, non-linear differentiable function on weight training m
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这是一个简单的FFT为无电位1 +1 +1 Ð 薛定谔方程的光束传播方法。如果该软件灵活,允许引入的术语(如果是极少数需要包括色散效应高阶导数)。例如,如果一个人渴望解决的一个方程的形式:
(四/ dz的+ Ð ^ 2/dx ^ 2 - 0.25 * Ð ^ 3/dx ^ 3)== 0 Ÿ
它可以解决使用以下代码:
Ž = linspace(0,1,512)
x = linspace(-5,5,1024)
psi0 =进出口
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对激光通过大气传输的主要非线性过程进行数值模拟, 列出大气的流体动力学方程组和与
大气相互作用的波方程,推导出受激热瑞利散射引起的小扰动不稳定性的波与大气的耦合方程, 还对湍流作了处理。-Of laser transmission through the atmosphere, the main non-linear process to simulate the fluid dynamics are listed in the atmosphere and atmospheric inte
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为了减小NLOS 传播的影响,基于几何结构的单次反射统计信道模型,该文提出一种NLOS 环境下的TOA/AOA 定位算法。利用RBF 神经网络较快的学习特性和逼近任意非线性映射的能力,对NLOS 传播的误差进行修正以减小NLOS 传播的影响,再利用最小二乘(LS)算法进行定位,从而提高系统的定位精度。-In order to mitigate the effect of NLOS propagation, based on the Geometry Based Single- Bounced
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请用多层感知器(MLP)神经网络误差反向传播(BP)算法实现异或问题(输入为,要求可以判别输出为0或1),并画出学习曲线。其中,非线性函数采用S型Logistic函数。-Please use the Multilayer Perceptron (MLP) back propagation neural network (BP) algorithm XOR problem (input is required to determine the output is 0 or 1), and draw
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In telecommunication, Intersymbol Interference (ISI) is a form of distortion of a signal in which one symbol interferes with subsequent symbols. This an unwanted phenomenon as the previous symbols have similar effect as noise, thus making the communi
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仿真波导中超短脉冲传输中的各种非线性效应所产生的超连续谱(Supercontinuum spectra generated by various non-linear effects in ultra-short pulse propagation in waveguides)
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