提供一个人工免疫算法源程序，其算法过程包括： 1.设置各参数 2.随机产生初始群体——pop=initpop(popsize,chromlength) 3.故障类型编码，每一行为一种！code(1,:)，正常；code(2,:)，50％；code(3,:)，150％。实际故障测得数据编码，这里Unnoralcode,188％ 4.开始迭代（M次）： 1）计算目标函数值：欧氏距离[objvalue]=calobjvalue(pop,i) 2）计算群体中每个个体的适应度fitvalue=calfitvalue(objvalue) 3）选择newpop=Selection(pop,fitvalue) objvalue=calobjvalue(newpop,i) ％ 交叉newpop=crossover(newpop,pc,k) objvalue=calobjvalue(newpop,i) ％ 变异newpop=mutation(newpop,pm) objvalue=calobjvalue(newpop,i) ％ 5.求出群体中适应值最大的个体及其适应值 6.迭代停止判断。
上传时间： 2014-01-01
上传用户：trepb001
物流分析工具包。Facility location: Continuous minisum facility location, alternate location-allocation (ALA) procedure, discrete uncapacitated facility location Vehicle routing: VRP, VRP with time windows, traveling salesman problem (TSP) Networks: Shortest path, min cost network flow, minimum spanning tree problems Geocoding: U.S. city or ZIP code to longitude and latitude, longitude and latitude to nearest city, Mercator projection plotting Layout: Steepest descent pairwise interchange (SDPI) heuristic for QAP Material handling: Equipment Selection General purpose: Linear programming using the revised simplex method, mixed-integer linear programming (MILP) branch and bound procedure Data: U.S. cities with populations of at least 10,000, U.S. highway network (Oak Ridge National Highway Network), U.S. 3- and 5-digit ZIP codes
标签： location location-allocation Continuous alternate
上传时间： 2015-05-17
上传用户：kikye
This demo nstrates the use of the reversible jump MCMC simulated annealing for neural networks. This algorithm enables us to maximise the joint posterior distribution of the network parameters and the number of basis function. It performs a global search in the joint space of the parameters and number of parameters, thereby surmounting the problem of local minima. It allows the user to choose among various model Selection criteria, including AIC, BIC and MDL
标签： This reversible annealing the
上传时间： 2015-07-19
上传用户：ma1301115706
This m file models an UWB system using BPSK. The receiver is a correlation receiver with a LPF integrator and comparators for threshhold Selection.
标签： receiver correlation models system
上传时间： 2014-12-19
上传用户：ryb
Prony算法工具箱。Prony方法是用一组指数项的线性组合来拟和等间距采样数据的方法,可以从中分析出信号的幅值、相位、阻尼因子、频率等信息。considerations including data preprocessing, model order Selection, model order Selection criteria, signal subspace Selection, signal and noise separation, root inspection and assessing residuals. The PTbox provides flexibility to compare and display analysis results simultaneously for several parameter variations.
标签： Prony considerations including data
上传时间： 2015-09-11
上传用户：lizhizheng88
In this paper, we describe the development of a mobile butterfly-watching learning (BWL) system to realize outdoor independent learning for mobile learners. The mobile butterfly-watching learning system was designed in a wireless mobile ad-hoc learning environment. This is first result to provide a cognitive tool with supporting the independent learning by applying PDA with wireless communication technology to extend learning outside of the classroom. Independent learning consists of self-Selection, self-determination, self-modification, and self-checking.
标签： butterfly-watching development describe learning
上传时间： 2014-11-26
上传用户：waizhang
This source code is about the basic sorting algorithm implemented in C#. The algorithms included are Bubble Sort, Insertion Sort, Selection Sort. User can trace how s the sorting algorithm works.
标签： implemented algorithms algorithm included
上传时间： 2013-12-25
上传用户：woshiayin
基于libsvm，开发的支持向量机图形界面(初级水平)应用程序，并提供了关于C和sigma的新的参数选择方法，使得SVM的使用更加简单直观.参考文章 Fast and Efficient Strategies for Model Selection of Gaussian Support Vector Machine 可google之。
标签： libsvm
上传时间： 2015-10-16
上传用户：cuibaigao
能够对INI文件方便的读写，能够选择Selection进行方便的选择。
上传时间： 2014-01-25
上传用户：stampede
JPowerGraph is a Java library for creating directed graphs for Swing. It supports graph movement, Selection, context menus, tooltips and dynamic edge creation.
标签： JPowerGraph for creating directed
上传时间： 2013-12-09
上传用户：坏坏的华仔
