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filter
- 这里的７个源代码都是关于自适应噪声滤除技术的，其中包括小波分析，ＬＭＳ，ＲＬＳ，ＮＬＭＳ自适应滤波器，前向神经网络，ＢＰ神经网络自适应除噪-here seven of the source code are adaptive noise filtering technologies, including wavelet analysis, LMS, RLS, NLMS adaptive filter, to the neural network, BP neural network adapti
matlab
- 该算法在优化方面性能比较好，可用于函数极值，解方程，并且在前向神经网络权值和网络结构的训练也表现了不错的性能
BP
- 几种前向神经网络的应用实例，用matlab编的源代码
lamdaBP
- 三层前向神经网络的权值训练方法 变步长的bp法
NNCONTROLINGANDBP
- 神经网络控制作为一种全新的智能控制方法,是解决非线性系统预测和控制问题的一种重要手段,受到了许多专家学者的广泛关注,是目前国内外研究的热点之一。本文着重研究前向神经网络的学习算法,简单探讨了BP算法在逼近非线性系统中各个因素对系统的影响。 -Neural Network Control as a new intelligent control method is to solve the nonlinear system to predict and control an important
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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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- 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
bp_back
- 本程序为一个误差向后传播的三层前馈神经网络有指导的学习算法。-This procedure for a transmission error backward three feedforward neural network learning algorithm for guidance.
BP
- 反向传播算法也称BP算法，是一种神经网络学习的数学模型，解决多层前向神经网络的权系数优化-Back-propagation algorithm, also known as BP algorithm is a neural network study of the mathematical model and solve multi-layer feedforward neural network weights optimization
bp2
- bp神经网络源码, NEWFF---生成一个新的前向神经网络 TRAIN-----对BP神经网络进行训练 SIM----对BP神经网络进行仿真 -bp neural network source code
ebp1
- matlab动量梯度下降算法 生成一个新的前向神经网络 对BP神经网络进行训练 对BP神经网络进行仿真-Momentum matlab gradient descent algorithm to generate a new feed-forward neural networks trained BP neural network on the BP neural network simulation
matlabnn
- 前向神经网络源代码，包括传感器网络，BP网络、径向基网络等例子-nn code
StockAnalysis
- 基于前向神经网络和Matlab的Stock+Analysis设计与实现-Based on Matlab-forward neural networks and the Stock+ Analysis Design and Implementation of
bp2
- 利用粒子群PSO算法，设计一个使得前向神经网络的训练得到最优问题。-The use of particle swarm PSO algorithm, designed to allow a feed-forward neural network training problems to be optimal.
Neural_Control
- 首先介绍人工神经网络的基本概念和ANN 的特性，以及神经网络的学习方法。然后讲授典型的前向神经网络、反馈神经网络的原理、结构、基本算法，给出了BP 网络的算法改进。最后介绍了神经网络PID 控制。-First introduces the basic concepts of artificial neural networks and the characteristics of ANN, and the neural network learning. And then teach the t
XOR
- VC++实现BP前向神经网络异或算法，（非常好）-VC++ to achieve BP XOR forward neural network algorithm (very good)
PID-control-based-BP
- 用一个多层前向神经网络，采用反向传播算法依据控制要求实时输出Kp、Ki、Kd，依次作为PID控制器的实时参数，代替传统PID参数靠经验的人工整定和工程整定，以达到对大迟延主气温系统的良好控制。-We use a multilayer feedforward neural network using back propagation algorithm and based on control requirements.This net can real-time output Kp, Ki, K
bp神经网络
- Matlab实现前向神经网络的方法 本文以Fisher的Iris数据集作为神经网络程序的测试数据集(Implementation of feedforward neural networks by Matlab)
卷积神经网络
- 建立卷积神经网络；使用训练样本对卷积神经网络进行训练；使用测试样本对卷积神经网络进行测试；卷积神经网络的前向计算过程；计算目标函数值，以及目标函数对权值和偏置的偏导数；更新网络的权值和偏置。(A convolutional neural network; convolutional neural network is trained using the training samples; test the convolutional neural network using the test s
70616536matlab
- 采用BP网络,NEWCF--生成一个新的前向神经网络,TRAIN--对网络进行训练, 定义训练样本(Using the BP network, NEWCF-- generates a new forward neural network. TRAIN-- trains the network to define training samples.)