资源列表
BP_ANN
- 计算机神经网络（BP）的演示例程，有详细的资料与演示步骤，以供初学神经网络算法的人使用。-Computer network (BP) demonstration routines, with detailed information and presentation steps for beginners to use neural network algorithm.
advanced-function-tensorflow
- 使用tensorflow来实现更高级的功能，例如多gpu并行计算、tensorboard可视化-Tensorflow to use more advanced features, such as multi-gpu parallel computing, tensorboard Visualization
neutral-network-tensorflow
- 使用tensorflow实现几类深度学习，如卷积神经网络、自回归神经网络、动态神经网络等-Use tensorflow to achieve several kinds of deep learning, such as convolution neural network, recurrent neural network, dynamic neural network
BasicModels-Tensorflow
- 使用tensorflow来实现基本的模型，包括线性回归，logistic回归和最近临-use tensorflow for some basics models, including linear regression,logistic regression and nearest neighbor
Brief-of-Artificial-Intelligence
- 人工智能算法概论，包括神经网络、支持向量机、专家系统等 -Introduction to artificial intelligence algorithms, including neural networks, support vector machines, expert systems, and so on
PCAaICA-2
- 一位很厉害导师的课件,详细地讲解了独立分量分析的相关原理。 -A very powerful mentor courseware, explained in detail the independent component analysis of the relevant principles.
PCAaICA-1
- 一位很厉害导师的课件,详细地讲解了主分量分析的相关原理。 -A very powerful mentor courseware, explained in detail the main component analysis of the relevant principles.
Matlab-support-vector-machine
- 一位很厉害导师的支持向量机课件,详细地讲解了支持向量机编程的原理。-A very powerful mentor support vector machine courseware, in detail to explain the principle of support vector machine programming.
gray
- 用灰色系统理论进行评估。先用层次分析法进行权值确定，然后利用灰色理论讲评估向量进行合成，得到评估结果-On the application of gray system theory in the uation, we use the method of AHP to determine the weight, and then synthesize the obtained vector to get the uation result
exm_pso_1
- 本matlab代码利用粒子群算法求一个函数的极值-Particle swarm algorithm for a function extremum
MachineLearning-with-R
- Machine-Learning-with-R-datasets-master,基于R的机器学习，非常值得学习，希望对大家有帮助。-Machine-Learning-with-R-datasets-master, R-based machine learning, well worth learning, we want to help.
FNN
- 使用遗传算法对水质进行预测，附有源码及数据-Using genetic algorithm to predict water quality, with source code and data