资源列表
tensorflow-cnn
- 基于TensorFlow的mnist数据集识别，使用CNN的方法，采用梯度下降学习(MNIST data set recognition based on TensorFlow, using CNN method, using gradient descent learning)
BPPIDspeed
- 神经网络BP PID 控制双闭环直流电机(Neural network, BP, PID control, double closed loop, DC motor)
斯坦福大学机器学习课程原始讲义
- 斯坦福大学机器学习课程原始讲义, 很经典的课程，机器学习入门(Stanford University machine learning course original handouts, very classic courses, machine learning portal)
PSO-RBF
- 粒子群优化算法智能优化RBF神经网络~~~~~~~~~~~~~(Intelligent optimization, BP neural network)
basicABC
- 基本人工蜂群算法，带中文注释 可以用来求解优化问题，也可在此基础上改进(Basic Artificial Bee Colony Algorithm with Chinese Notes Can be used to solve the optimization problem can also be improved on this basis)
Dioderectifier
- 坛Simulink物理建模板块发表的帖子:隔离型双向全桥DCDC谐振变换器... 我的已经仿真可以了,变压器有点问题,PWM正确的移相发生器我已经(Altar Simulink physics modeling board posted post: isolated two-way full bridge DCDC Resonant Converter... My simulation has been possible, the transformer has some problems, P
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.)
bp
- python 实现的bp神经网络预测，数据已经有，可以直接替换，叠加次数还有步长可以自己设置。(Python implementation of BP neural network prediction, the data already has, can be directly replaced, the number of overlap, there are steps you can set yourself.)
深度学习的pdf
- 深度学习的pdf版本，也许下载后对你有用，你值得拥有。(Learn the pdf version in depth, maybe after downloading it is useful to you and you deserve it.)
matlab 给的深度学习入门
- matlab官方给的深度学习入门参考资料，PDF格式，浅显易懂，很适合新手入门(Matlab official to the depth of learning introductory reference materials, PDF format, easy to understand, it is suitable for beginners)
遗传算法优化BP神经网络——非线性函数拟合
- 遗传算法优化 BP 神经网络分为 BP 神经网络结构确定、遗传算法优化和 BP 神经网络预 测 3 个部分。 BP 神经网络预测用遗传算法得到最优个体对网络初始权值和阔值赋值，网络经训练后预测函数输出。(Genetic algorithm optimization BP neural network is divided into 3 parts: BP neural network structure determination, genetic algorithm optimization
用遗传算法优化BP神经网络的Matlab编程实例
- 用遗传算法优化BP神经网络的Matlab编程实例，非常实用(BP neural network optimization using genetic algorithm Matlab programming examples, very practical)