搜索资源列表
GA-to-optimize-BP
- 遗传算法优化BP神经网络-非线性函数拟合-Genetic algorithm to optimize the BP neural network to nonlinear function fitting
StandardBPalgorithmCode
- 该代码是基于标准BP算法训练样本数据的代码，压缩包里包含代码和样本数据。 BP(Back Propagation)神经网络，即信号的正向传播+误差的反向传播，该网络是应用最广泛的一种神经网络模型。BP网络的设计主要包括输入层,隐层,输出层及各层之间的权值、阈值及传输函数等几个方面。-The code is based on code standard BP algorithm training data, compression bag containing the code and sampl
BP
- 典型的神经网络算法，含详细注释，供新手学习和借鉴-A typical neural network algorithm, with detailed notes, for beginners to learn from
bp_f2
- 基于模式识别的经典神经网络的BP算法的MATLAB程序-Based on the classic pattern recognition neural network BP algorithm MATLAB program
BP
- 该程序为BP神经网络算法，具有一定的实用性，希望对大家有帮助-The program for the BP neural network algorithm, with a certain practicality
bp-ga-method
- 基于遗传算法的BP神经网络算法(以下简称BP—GA)就是在BP神经网络的学习过程中，将权重和阀值描述为染色体，并选取适宜的适应函数，然后进行GA迭代，直到某种意义上的收敛．-GA BP neural network algorithm (hereinafter referred to as BP-GA) is in the learning process BP neural network, the weights and thresholds described as chromosomes
Genetic-algorithm-optimization-BP
- 运用遗传算法优化BP神经网络-来求取非线性函数拟合用图-Using genetic algorithm optimization BP neural network- to strike a nonlinear function fitting Fig
BP-hehanshubiaoda
- 在Windows环境中利用Matlab实现BP学习算法在达到期望均方误差最小的情况下正确表达傅里叶核函数。-BP learning algorithm using Matlab achieve in the Windows environment to achieve the desired mean square error at minimal correct expression of Fourier kernels.
Autoencoder_Code
- 深信度网络中的自编码部分，包括受限玻尔兹曼机训练，BP算法反向微调，深度学习入门学习材料！-Convinced of the network of self-coding parts, including Restricted Boltzmann Machine training, BP algorithm reverse trimming, deep learning introductory learning materials!
PG_DEEP-master
- 深度学习之深信度网络的c++实现版本，基于作者论文的matlab 代码。代码风格简单易懂，实现了cd算法，bp算法微调的过程-C++ convinced depth learning of the network implementation version, based on the author' s thesis matlab code. Code is easy to understand style, realized cd algorithm, bp algorithm tri
NN
- 改进过的BP算法，有dropout,和weight decay项，可以设置三种激活函数。可以用来分类。-BP had improved algorithm, dropout, and weight decay term, you can set three activation functions. It can be used for classification.
PSO-BP
- 利用PSO算法优化BP神经网络，得到适应度函数曲线图-PSO to optimize the BP neural network
BP
- MATLAB 实现的BP神经网络，没有使用newff函数，自行编写的程序，还有多种改进算法。-MATLAB BP neural network, there is no use newff function, its own written procedures, there are many kinds of improved algorithm.
FA-BP
- 萤火虫算法适用于各个方面的极值寻优，优化模型参数，提升模型精度。-Firefly algorithm is suitable for the optimization extreme of the various aspects of optimizing the model parameters, improve the model accuracy.
GA-BP
- 遗传算法优化BP神经网络程序，利用遗传算法找出最优的权值和阈值赋予BP神经网络并开始训练。-Genetic algorithm optimization BP neural network program, the use of genetic algorithm to find the optimal weights and thresholds given BP neural network and start training.
ANN
- 人工神经网络实例，四层结构，基于BP算法，对正负样本进行分类-Artificial Neural Network，four layers，Based on BP algorithm
BPNN_Java
- 神经网络，BP算法，对iris数据进行训练和测试。本程序采用Java语言编写，学习正确率达98 。-iris data analysis,java programming,bp algorithm
BP_IRIS
- BP算法对IRIS数据进行分类，MATLAB代码，带数据文件-BP algorithm,iris data analysis,matlab programming
Nonlinear-classifier
- 非线性分类器，包括ANN-BP算法的matlab代码实现和性能分析，以及近邻法的实现-Non-linear classifiers, including ANN-BP algorithm matlab code and performance analysis, and nearest neighbor methods to achieve
BP-network
- 利用matlab实现bp人工神经网络算法，根据训练集合训练模型，测试集合进行模型的测试-Using matlab bp artificial neural network algorithm, according to the training set training model, test collection model test