搜索资源列表
GA-add-TO-BP
- matlab神经网络30例的案例3 遗传算法优化BP神经网络-非线性函数拟合-matlab neural network cases 30 cases of 3 genetic algorithm optimization BP neural network- a nonlinear function fitting
network_kit
- 使用神经网路下的BP算法逼近sin函数，训练样本9个，测试样本361个-Use BP neural network algorithm of approximation of the sin function under training samples 9, test samples 361
BP
- BP网络（Back Propagation），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。-Back Propagation (BP), a multi-layer feedforward neural network trained by the error back propagation al
BP_ANN
- 在MATLAB中利用BP算法训练多层感知器-Trained by BP algorithm in MATLAB Multilayer Perceptron
ANN-master
- 使用BP算法实现了一个隐层的人工神经网络（ANN），是学习BP算法的一个很好的参考-implement an Artificial Neural Network(ANN) with one hide layer,using bp algorithm,a good reference to the study of bp algorithm
BP-Adaboost
- BP-Adaboost模型即把BP神经网络作为弱分类器，反复训练BP神经网络预测样本输出，通过Adaboost算法得到多个BP神经网络弱分类器组成的强分类器。-The BP-Adaboost model uses BP neural network as weak classifier to repeatedly train BP neural network to predict the sample output. Adaboost algorithm is used to obtain a
BP
- 基于Visual C++实现一个简单的BP神经网络算法，对数据进行简单的分类。-Based on Visual c++ to realize a simple algorithm of BP neural network, the classification of the data is simple.
codes
- 手写数码（0到9）识别的神经网络框架。附有数据训练集和测试集。采用随机梯度下降的BP算法。可以修改参数，加入drop out和动量法。-Digital handwriting (0 to 9) of the neural network recognition framework. With training and test data sets. BP algorithm using stochastic gradient descent. Parameters can be modified
main
- 应用BP神经网络逼近非线性函数，非线性函数为多输入单输出，逼近误差<5 ，采用经典的BP算法。-Application of BP neural network to approximate nonlinear function, nonlinear function for multiple input and single output, the approximation error < 5 , using the classic BP algorithm.
pota
- 动量bp算法源程序,网上找来的,希望有用,多谢支持-Momentum bp algorithm source code, find online, hope to useful, thank you for your support
ga_bp
- 转载的遗传算法优化bp网络，运行结果还行。但愿有用。(Reproduced genetic algorithm to optimize the bp network, running the results okay. Hopefully useful.)
GA优化BP权阈值
- 遗传算法优化BP权值，这是关于基本GA算法和改进GA算法的程序，包括循序选择GA，大变异GA，自适应GA等(Genetic algorithm optimization BP weights, which is about the basic GA algorithm and improved GA algorithm procedures, including sequential selection of GA, big variation GA, adaptive GA and so on
CS_BP_OK-low
- 使用布谷鸟算法优化BP神经网络进行分类。替换数据即可使用。(The BP neural network was classified by using the cuckoo algorithm. Replacement data can be used.)
改进的PSOBP
- 使用改进的PSO算法优化BP神经网络是实现数据的分类。调试通过，替换样本数据即可使用(Optimizing BP neural network using improved PSO algorithm is the classification of data. Debug through, replace sample data can be used)
bpnn
- BP反向传播神经网络算法，包括数据预处理部分(this zip include BP back propagation Neural network algorithm and the data preprocessing section)
ga_bp
- 基于遗传算法改进阈值的神经网络 能够有效避免神经网络的阈值陷入局部极小值这一问题(The neural network based on genetic algorithm to improve the threshold can effectively avoid the problem that the threshold of the neural network is trapped into the local minimum)
第10章 模糊逼近算法
- RBF网络的学习过程与BP网络的学习过程类似，两者的主要区别在于各使用不同的作用函数。BP网络中隐层使用的是Sigmoid函数，其值在输入空间中无限大的范围内为非零值，因而是一种全局逼近的神经网络；而RBF网络中的作用函数是高斯基函数，其值在输入空间中有限范围内为非零值，因为RBF网络是局部逼近的神经网络。(The learning process of RBF networks is similar to the learning process of BP networks. The mai
[矩阵实验室].Face_Angle_Neural_net
- maltab遗传算法的人脸识别，BP神经网络的人脸识别算法(Maltab genetic algorithm for face recognition, BP neural network face recognition algorithm)
BPmatlab
- BP神经网络算法实现例子，多层感知机，对非线性函数逼近(neural network and Multilayer perceptron)
bpanniris
- 这段代码为BP神经网络的学习算法代码，这段代码可以帮助初学者很好的学习bp神经网络知识(This code for the BP neural network learning algorithm code, this code can help beginners learn BP neural network knowledge)