资源列表
sh
- 再Bp神经网络的基础上面加入了Fuzzy模糊网络的概念。让结果更加精确-Then Bp neural network basis of the above added the concept of Fuzzy Fuzzy Network. More accurate results .....................
ppy
- 一个简单的网络爬虫，在一个网页里面找个每个老师的详细信息的地址，然后访问该地址，把这位老师发表的论文的 时间 名字 期刊 的信息找出来，然后把这些信息存入mysql中-A simple web crawler in the inside of a web page to find more information on the address of each teacher, then access to the address to find out the time the name of
jnsga2-1.1-bin
- NSGA-II实现 非常好 NSGA-II实现 非常好-NSGA-II implement very good NSGA-II implement very good
chapter6
- 。《MATLAB智能算法30个案例分析》采用案例形式，以智能算法为主线，讲解了遗传算法、免疫算法、退火算法、粒子群算法、鱼群算法、蚁群算法和神经网络算法等最常用的智能算法的MATLAB实现。对广大科研人员有很高的参考价值。-. MATLAB intelligent algorithm 30 case studies, the use of case the main line, the form of an intelligent algorithm to explain the genetic
MATLAB-30-Cases
- 。《MATLAB智能算法30个案例分析》采用案例形式，以智能算法为主线，讲解了遗传算法、免疫算法、退火算法、粒子群算法、鱼群算法、蚁群算法和神经网络算法等最常用的智能算法的MATLAB实现。对广大科研人员有很高的参考价值。-. MATLAB intelligent algorithm 30 case studies, the use of case the main line, the form of an intelligent algorithm to explain the genetic
neutral-networks
- matlab中神经网络算法的应用举例，很容易理解-Examples of the application of neural network algorithm matlab, it is easy to understand
SA
- 模拟退火算法的应用举例，很容易让人理解模拟退火的精髓-Examples of application of simulated annealing algorithm, it is easy to understand the essence of the simulated annealing
SA0-1
- 模拟退火解决0—1背包问题，很好的套用模版-Simulated annealing to solve the 0-1 knapsack problem, apply the template
GA
- 1.遗传算法求解无约束目标函数最大值问题案例分析 2.多约束非线性规划-Genetic Algorithm for Solving the unconstrained maximum objective function of problem cases
fluid_simulation
- 本程序的目的是为了进行无粘性流体的数值计算模拟，通过CFD算法计算每个节点的应力，推算出流体的本构方程-The purpose of this program is to viscous fluid values calculated to simulate the stress the CFD algorithm calculated for each node, calculate the constitutive equation of the fluid
Exameple51Sim
- BP神经网络的仿真，利用工具箱函数进行预测，显示期望值与输出值-BP
car_flow_mass
- 程序的目的是根据行人流的质量、流量守恒方程进行相应的模拟，得到行人的时空序列图，从而有助于解决车辆的拥堵问题-The purpose of the program is based on the quality of the pedestrian flow, the flow conservation equations corresponding analog pedestrian space and time sequence diagrams to help solve the probl