搜索资源列表
BP
- BP神经网络matlab程序，BP算法由数据流的前向计算（正向传播）和误差信号的反向传播两个过程构成。正向传播时，传播方向为输入层→隐层→输出层，每层神经元的状态只影响下一层神经元-BP neural network matlab program, BP algorithm the data stream forward calculation (forward propagation) and two back-propagation process error signal configu
BP
- 使用人工神经网络中的BP算法简单地进行三角函数拟合，结果正确-The use of artificial neural network BP algorithm is simple to carry out trigonometric fitting result is correct
BP
- QT编写神经网络BP算法，学习，训练，泛化-QT write neural network BP algorithm, learning, training and generalization
BP
- BP神经网络程序，包含一个C语言的原始程序，看到BP的算法流程，还有两个改进的BP程序，包括自适应动量下降法和梯度下降法-BP neural network program, the original program that contains a C language, see BP algorithm process, there are two improved BP procedures, including adaptive momentum descent and gradient
BP.c
- 用C语言实现的BP算法，对初学神经网络的人有帮助-BP algorithm using C language for beginners neural network to help people
BP
- BP 算法实现的详细过程，适合初学者使用-Details of the process of BP algorithm, for beginners
BP
- matlab 仿真bp算法以及一些改进-Matlab simulation bp algorithm and some improvements
BP-algorithm
- 基于和积算法的LDPC码译码算法，采用的是7/4线性分组码，但是这里程序是灵活的，可以替换为任意形式的LDPC码。还有一个书面的报告，详细的解释了译码过程和和积算法原理，希望对大家有帮助-Based on the algorithm and integrated algorithm of LDPC codes decoding, by using linear block code is 7/4, but this program is flexible, can be replaced by
BP
- BP算法实现异或功能。并附有详细的训练数据。-BP algorithm to achieve XOR function. With detailed training data.
PSO-for-BP
- 用粒子群算法来训练网络参数，直到误差趋于一稳定值，然后用优化的权值用于BP算法-PSO is used to optimize connection weights of forward-back neural network until the learning error has tended to stability, Then we use BP algorithm with optimized weights to finish short-term load forecasting
PSO论文
- 利用PSO优化Bp算法， 同时提供了详细地论文，代码仅供参考(Papers and code, on the use of PSO to improve the BP algorithm, the paper is more detailed, for reference only)
遗传算法优化BP神经网络-非线性函数拟合
- 进行非线性函数拟合且用遗传算法对BP神经网络进行优化(The nonlinear function is fitted and the BP neural network is optimized by genetic algorithm)
GA优化BP神经网络
- 该程序利用遗传算法，优化神经网络结构，是MATLAB源代码。(The neural network structure is optimized by genetic algorithm)
BP神经算法
- 神经网络算法源代码，使用c++编写，适用于解决分类问题(Neural network algorithm)
BP网络
- BP（Back Propagation）网络是1986年由Rumelhart和McCelland为首的科学家小组提出，是一种按误差逆传播算法训练的多层前馈网络，是目前应用最广泛的神经网络模型之一。BP网络能学习和存贮大量的输入输出模式映射关系，而无需事前揭示描述这种映射关系的数学方程。它的学习规则是使用最速下降法（梯度法），通过反向传播来不断调整网络的权值和阈值，使网络的误差平方和最小。BP神经网络模型拓扑结构包括输入层（input layer）、隐层(hide layer)和输出层(outpu
chapter3基于遗传算法的BP神经网络优化算法
- 用遗传算法去优化BP神经网络，使控制更加精准(Genetic algorithm is used to optimize BP neural network)
GA-BP代码
- 利用GA遗传算法优化BP神经网络，有理论介绍，有实例(BP neural network optimization using GA genetic algorithm, a theoretical introduction, there are examples)
遗传算法优化BP神经网络-非线性函数拟合
- 遗传算法优化BP神经网络-非线性函数拟合(Genetic algorithm optimization BP neural network nonlinear function fitting)
PSO-bp((matlab
- 实现粒子群算法优化BP神经网络的预测算法(Particle swarm optimization algorithm to optimize the BP neural network prediction algorithm)
基于遗传算法的BP神经网络优化算法
- 基于遗传算法的BP神经网络优化算法,Matlab代码。(BP neural network optimization algorithm based on genetic algorithm, Matlab code.)