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BPneuralnetworkprediction
- BP神经网络对机械振动信号峰峰值预测的源程序-BP neural network prediction of peak of mechanical vibration signal
BP-neural-network-PID-control-in-the-blow-molding-
- BP神经网络PID控制在吹塑机系统中的应用BP neural network PID control in the blow molding machine system-BP neural network PID control in the blow molding machine system
BP
- 模拟BP神经网络，基于BP网络的多层感知器的模拟-BP neural network simulation
BPshenjinwangluosuanfa
- BP神经网络算法,C语言编写用户可以修改输入、输出、隐层神经元, 可以根据网络输出误差调整各网络参数 BP神经网络算法,C语言编写用户可以修改输入、输出、隐层神经元, 可以根据网络输出误差调整各网络参数 -BP neural network algorithm, C language the user can modify the input, output, hidden layer neurons, the network output error can adjust t
BP_identification
- BP神经网络用于系统辨识的例子，给出了程序和结果-BP network used for system identification
bp_neural_network-char
- BP神经网络字符识别源程序， 可编译执行，有很好的参考价值。-BP neural network char indentical source code . Building executable program available
case1
- BP神经网络的数据分类-语音特征信号分类-BP Neural Network for Data Classification- Classification of speech feature signals
case2
- BP神经网络的非线性系统建模-非线性函数拟合-BP neural network for nonlinear system modeling- nonlinear function fitting
BP_Algorithm
- BP神经网络算法 BP神经网络算法-BP neural network algorithm BP neural network algorithm BP neural network algorithm
GA-BPANN
- 经过遗传算法优化的BP神经网络程序GA-BPA-After a genetic algorithm BP neural network program GA-BPANN
bp
- 神经网络分类在医疗领域乳腺肿瘤诊断中的应用-Neural network classifier in the medical field diagnosis of breast cancer
bp
- Elman神经网络在电力负荷预测模型研究中的应用-Elman neural network for electric load forecasting model for the Study of
bp-network
- 经典的Bp神经网络课件，易于理解，对初学者有一定指导作用-Classical Bp neural network courseware and easy to understand, has some help
bp-recognition
- 采用BP神经网络对手写体数字进行识别。识别相当方便有效快捷-Using BP neural network to recognize handwritten digits. Very easy to identify effective and efficient
BP-Neural-network-PID
- 神经网络的结构选4-5-3，学习速率为0.28，惯性系数为0.04，加权系数初始值取-0.5-0.5上的随机数。-4-5-3 neural network structure selection, the learning rate is 0.28, the inertia coefficient is 0.04, the initial value of weighting factor to take-0.5-0.5 the random number.
aa-bp
- 使用蚁群算法及改进的蚁群算法优化BP神经网络的程序-Ant colony algorithm to optimize the BP neural network program
fruit
- BP神经网络算法实现水果分类，学习训练然后识别，提供例子-BP neural network algorithm fruit classification
ga-bp
- 用遗传算法来改善BP神经网络模型，可以很好的用于最优化、预测等问题的求解-Using genetic algorithms to improve the BP neural network model, can be very good for optimization, forecasting and other problem solving
Matlab-svm-BP-compare
- 支持向量机和BP神经网络虽然都可以用来做非线性回归，但它们所基于的理论基础不同，回归的机理也不相同。支持向量机基于结构风险最小化理论，普遍认为其泛化能力要比神经网络的强。为了验证这种观点，本文编写了支持向量机非线性回归的通用Matlab程序和基于神经网络工具箱的BP神经网络仿真模块，仿真结果证实，支持向量机做非线性回归不仅泛化能力强于BP网络，而且能避免神经网络的固有缺陷——训练结果不稳定。-SVM and BP neural networks, although non-linear regr
11
- bp神经网络小波方面的应用例子11，注释比较详细，可以-bp in the application of wavelet neural network example 11, a more detailed notes, you can see