搜索资源列表
bpalgorithm1
- BP算法的C语言实现，可用于函数逼近，分类，数据挖掘应用等-BP algorithm C language can be used to function approximation and classification, data mining applications
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
BP_Parallel
- BP算法的并行化实现，利用OpenMp进行并行-Parallel BP
BP-face-recognization
- 基于BP神经网络的人脸识别算法的MALAB实现。采用了抽样-全样训练的方式。-BP neural network-based face recognition algorithm MALAB. Using a sample- the whole kind of training methods.
normal-BP
- 实现基于BP译码算法的LDPC code的译码算法程序-achieve the function of decoding of LDPC code
BP
- BP网络matlab实现的模式识别的一些简单算法使用乐matlabtoolbox-BP network matlab realize some examples
BP_XOR
- 使用了神经网络中的BP算法，实现XOR操作-Using a neural network BP algorithm, XOR operation
BP-matlab
- BP神经网络算法的matlab实现，对于模式识别具有重要意义。-BP neural network algorithm matlab realize, for pattern recognition is important.
BP
- 采用典型的BP算法实现了有导师学习下的神经网络，采用输入层、隐含层和输出层的三层结构，实现了BP算法。-Typical BP algorithm implements a mentor to learn the neural network, using the input layer, hidden layer and output layer, three-layer structure, to achieve the BP algorithm.
BP
- bp 算法 人工神经网络中的经典算法用c语言实现的呃-bp artificial neural network algorithm classic algorithm c language uh
BP-XOR
- BP算法在MATLAB中的程序实现，在掌握这些基本原理的同时解决XOR的分类问题，并观察BP算法的收敛性。-BP algorithm in MATLAB program implementation, in mastering these basic principles while addressing the classification of XOR and observe the convergence of BP algorithm.
sparsify_0_5
- 稀疏工具箱，用于压缩感知，包含BP、MP、OMP等算法的实现，附有论文。-sparsify_0_5 cs
31616425bp
- 在eclipse上实现的BP,数据集需要自己添加(BP implemented on eclipse, and the data set needs to be added by itself)
bp
- matlab实现的bp算法，希望能够帮到大家。(Matlab achieve bp algorithm, hoping to help everyone.)
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)
cvx-w64
- CS BP算法的matlab实现程序，结构清晰，注释完整(CS BP algorithm matlab implementation procedures, clear structure, complete notes)
BP
- BP算法的MATLAB实现，很简单的分类小程序(BP algorithm MATLAB implementation, the small classification procedure is very simple)
BPdaqi
- 利用BP神经网络，以及梯度下降算法，实现对大气PM2,5的预测。(The prediction of atmospheric PM2. 5 is realized by BP neural network and gradient descent algorithm.)
关于用遗传算法改进BP神经网络的MATLAB实现
- 在MATLAB中用遗传算法改进BP神经网络(Improvement of BP neural network by genetic algorithm in MATLAB)
yuanma
- 有32种常规算法的介绍和matlab实现，BP神经网络的源码，地球磁场的matlab仿真，磁线的仿真(The introduction of 32 conventional algorithms and the matlab implementation, the source code of the BP neural network, the MATLAB simulation of the earth's magnetic field, and the simulation of the