资源列表
zimushibie1
- 神经网络字母识别技术能很好的实现大家可以了解一下-Neural network to predict the volume of Beijing public transport, we can find out
Autoencoder_Code
- 用于利用GPU训练DBN网络，包括pretraing和finetune,其中包含的rbm代码非常有用-for using GPU to train DBN network，including pretraing and finetune,rbm code is useful
genetic-algorithm
- Rosenbrock函数的全局最大值,使用遗传算法计算。f(x1,x2) = 100 (x12-x2)2 + (1-x1)2； -2.048 ≤ xi ≤ 2.048 (xi=1,2)。 该函数有两个局部极大点，分别是:f(2.048, -2048)=3897.7342和f(-2.048,-2.0048)=3905.9262其中后者为全局最大点。 -Rosenbrock function global maximum, calculated using a genetic algo
basedonparetoofmopso
- 多目标粒子群算法，基于pareto支配原则，能够解决多目标函数的优化问题，具有很好的代码复写性。-Multi-objective particle swarm algorithm, based on the principle of pareto dominance, multi-objective optimization problem can be solved function, with good replication of code.
timeseries_gan-master
- 针对非图像数据的GAN代码，数据源的asv文件需要自己制作。(For non image data GAN code, the ASV file of the data source needs to be made by itself.)
pplane7
- matlab file training for student in class 6
performafkelist_box
- 可进行多项式加,减,乘,乘方,积分,求导,等运算()
遗传算法改进的神经网络程序
- 自己整理网上的遗传算法改进的神经网络，matlab实现，主要应用于数据函数逼近拟合，网上的一般无法运行。这个可以运行。(The neural network improved by the genetic algorithm on the Internet, matlab implementation, mainly applied to the data function approximation fitting, the network is generally unable to run
Fuzzy Logic
- fuzzy logic algorithm
Autoencoder_Code
- Hilton用玻尔兹曼机实现数据降维的源代码(Hinton Science06 Reducing the dimensionality of data with neural networks)
思维进化算法优化BP神经网络——非线性函数拟合
- 思维进化算法优化BP神经网络——非线性函数拟合，有源程序和数据(BP Neural Network Optimized by Mind Evolutionary Algorithm - Nonlinear Function Fitting)
强化学习
- 使用强化学习实现策略梯度和和马尔科夫决策过程(Implementing Strategic Gradient Sum and Markov Decision Process with Reinforcement Learning)