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GABPMATLAB
- 利用遗传算法优化BP神经网络权值和阈值，然后进行训练，利用训练好的模型进行预估。附实例-The use of genetic algorithm to optimize BP neural network weights and thresholds, and then training, training a good use of forecast models. Attached examples
BpNet_src
- 材料力学分析用BP神经网络，使用改良的神经网络算法-BP Net for mechanics of materials
erjie
- 针对目前自动称重配料系统中采用传统PID控制的不足、系统误差不稳定、动态特性不理想，提出了一种基于神经网络PID控制的算法。该系统传递函数为 ,本文设计BP神经网络为三层，输入层4个节点,隐层为5个节点，输出层为3个节点。-For automatic weighing batching system currently used in traditional PID control deficiencies, systematic errors unstable dynamics is not
nonlinear-system-identification
- 基于BP算法的神经网络对一个非线性系统进行辨识，最终辨识达到稳定并有较小的辨识误差。-BP neural network algorithm is based on a nonlinear system identification, and ultimately to identify stable and has a small identification error.
code for homework3
- 本项目使用python自行实现了一遍BP算法，并大家一个三层的简易神经网络模型。供初学者使用。(This project uses Python to implement the BP algorithm once more, and we have a simple neural network model of three layers. For beginners to use.)
思维进化算法优化BP神经网络——非线性函数拟合
- BP神经网络的数据分类——语音特征信号分类，matlab(Data classification of BP neural network -- speech feature signal classification)
3 BP神经网络预测汽油浓度
- BP神经网络预测汽油浓度，神经网络，MATLAB(BP neural network prediction of gasoline concentration, neural network, matlab)