搜索资源列表
work
- GA+BP遗传算法与神经网络结合，与单纯的Bp算法作为比较-GA+BP
BP
- 比较经典的一种BP算法源程序，神经网络的方面的东西。C++编写的-Comparison of the classical BP algorithm is a kind of source, neural networks of things. Written in C++
GA-bp
- 基于遗传算法的bp神经网络优化程序，经测试好用，有很好的应用价值-Bp based on genetic algorithm neural network optimization program, tested easy to use, there is a good value
bp
- 一个例子，使用的是BP神经网络代码，采用的基本下降梯度算法-An example, using BP neural network code, using the basic down gradient algorithm
bp
- 利用BP算法实现加权系数的优化，实现误差最小-BP algorithm using the weighted coefficient is optimized to achieve the smallest error
example_bpnetronetwork
- BP算法例子：用一个五层的神经网络去逼近函数-example_bpnetronetwork_5layers
bp
- 一种用于信息融合的bp算法（vc),初学者，里面有不对的地方，大家注意或者仔细看看啊-Bp one for information fusion algorithm (vc)
BP
- 基于C++程序的神经网络Bp算法-Based on C++ programs Bp neural network algorithm for
BP
- bp是MATLAB应用中的预测算法，含有例题-BP and MATLAB
BP
- BP算法，也即置信算法的详细介绍及速度改进的算法介绍。可以从网上搜到源码。-BP algorithm, that is the confidence and speed of the algorithm details of the improved algorithm is introduced. Can be found from the Internet to the source code.
BP~
- BP神经网络算法，可以调节隐层，输入输出等-BP neural network algorithm, can be adjusted hidden layer, input and output, etc.
bp-classification
- 使用bp（反向传播算法）实现分类问题，并观察分类过程中误差的变化。-Use bp (back-propagation algorithm) to achieve the classification and observe the changes in classification process in the error.
bp
- Bp算法是c++程序编写的，希望大家看看，给予帮助-Bp
BP
- 基于BP算法的神经网络,实现输入对称样本时输出为0-Algorithm based on BP neural network, the input sample of the output is 0-symmetric
improveBPNet
- 改进的BP算法实现程序，以共轭梯度法实现BP神经网络。测试数据以txt格式给出。-Improved BP algorithm procedures in order to conjugate gradient method to achieve BP neural network. Test data given in txt format.
BP
- 是一种该井后的BP算法,用于预测天气变化、水位的变化-BP suanfa
bp
- C++的BP算法源程序神经网络，学习一下吧-C++, source neural network BP algorithm, learning about it
BP
- 使用matlab编写的BP神经网络的算法，使用单隐层的网络，其中包括一个实例文件，对20个数据作分类。-Prepared using matlab algorithm BP neural network, using a single hidden layer networks, including an instance of the file, the data for 20 categories.
BP
- 讨论BP算法用于系统辨识时样本数的选取对训练速率的影响，大大加快收敛速率-BP Algorithm for System Identification discuss sample selection when the rate of the training, which greatly speed up the convergence rate
BP
- 实现BP算法的训练，实现精度的判断，误差在0.1以内-BP algorithm to achieve the training, to achieve accuracy of judgments, the error is less than 0.1