资源列表
simulate
- 利用有记忆的模拟退火算法求解非线性整数规划问题，在考虑到购物要求、分布均衡要求、经济效益、潜在利益、就业效益的情况下如何在北京奥运会主场馆周边地区建设商业点，满足奥运会期间的购物需求、分布基本均衡和商业上盈利。(The memory simulated annealing algorithm is used to solve the non-linear integer programming problem. Considering the shopping requirements, dis
多输入多输出RBF神经网络MATLAB程序
- 多输入多输出的RBF神经网络训练MATLAB程序(RBF Neural Network Training with Multiple Input and Multiple Output)
FA
- 优化算法，基于萤火虫优化算法FA，主要程序为fa(Firefly optimization algorithm)
iwo
- IWD算法是模拟自然界中水滴运动的过程而被发明的，自定义fit函数(IWD algorithm is invented to simulate the movement of water droplets in nature. It defines fit function.)
bagging_svm
- bagging_svm MATLAB实现(the matlab code of bagging and svm .)
BF
- ldpc码的比特反转译码算法利用C语言实现，虽然简单但比较完整(The bit inversion decoding algorithm of LDPC code is implemented in C language, which is simple but complete.)
重要-SARSA
- 强化学习的一种，基于sarsa算法，寻找最优路径，可运行(One kind of reinforcement learning, based on sarsa algorithm, seeks the optimal path, which can run)
BPNeuralNetwork
- 用bp算法实现模式识别，模式识别课程小作业(Pattern recognition based on BP algorithm)
BN例子
- 贝叶斯网络应用的一个例子，吸烟患病模型 1建立贝叶斯网络结构并制定条件概率表 2画出建立好的贝叶斯网络 3输入证据,进行推理 4显示推理结果(An example of a Bayesian network application, the smoking model 1 Establish a Bayesian network structure and establish a conditional probability table 2 draw a well-establis
data
- 数据单一分类，svm和lstm两种，可以简单用于测试(data classification)
lasso
- 线性回归里的最小二乘估计，以及应用坐标下降的岭回归和Lasso的回归的python实现(Ridge regression and Lasso regression)
precdict
- 基于神经网络对癌症的预测 预测结果 多特征线性回归预测癌症(Prediction of Cancer Based on Neural Network Multi-feature Linear Regression)