提供一個人工免疫算法源程序，其算法過程包括： 1.設置各參數 2.隨機產生初始群體——pop=initpop(popsize,chromlength) 3.故障類型編碼，每一行為一種！code(1,:)，正常；code(2,:)，50％；code(3,:)，150％。實際故障測得數據編碼，這里Unnoralcode,188％ 4.開始迭代（M次）： 1）計算目標函數值：歐氏距離[objvalue]=calobjvalue(pop,i) 2）計算群體中每個個體的適應度fitvalue=calfitvalue(objvalue) 3）選擇newpop=selection(pop,fitvalue) objvalue=calobjvalue(newpop,i) ％ 交叉newpop=crossover(newpop,pc,k) objvalue=calobjvalue(newpop,i) ％ 變異newpop=mutation(newpop,pm) objvalue=calobjvalue(newpop,i) ％ 5.求出群體中適應值最大的個體及其適應值 6.迭代停止判斷。
上傳時間： 2014-01-01
上傳用戶：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
標簽： location location-allocation Continuous alternate
上傳時間： 2015-05-17
上傳用戶：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
標簽： This reversible annealing the
上傳時間： 2015-07-19
上傳用戶：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.
標簽： receiver correlation models system
上傳時間： 2014-12-19
上傳用戶：ryb
Prony算法工具箱。Prony方法是用一組指數項的線性組合來擬和等間距采樣數據的方法,可以從中分析出信號的幅值、相位、阻尼因子、頻率等信息。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.
標簽： Prony considerations including data
上傳時間： 2015-09-11
上傳用戶：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.
標簽： butterfly-watching development describe learning
上傳時間： 2014-11-26
上傳用戶：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.
標簽： implemented algorithms algorithm included
上傳時間： 2013-12-25
上傳用戶：woshiayin
基于libsvm，開發的支持向量機圖形界面(初級水平)應用程序，并提供了關于C和sigma的新的參數選擇方法，使得SVM的使用更加簡單直觀.參考文章 Fast and Efficient Strategies for Model selection of Gaussian Support Vector Machine 可google之。
標簽： libsvm
上傳時間： 2015-10-16
上傳用戶：cuibaigao
能夠對INI文件方便的讀寫，能夠選擇selection進行方便的選擇。
上傳時間： 2014-01-25
上傳用戶：stampede
JPowerGraph is a Java library for creating directed graphs for Swing. It supports graph movement, selection, context menus, tooltips and dynamic edge creation.
標簽： JPowerGraph for creating directed
上傳時間： 2013-12-09
上傳用戶：壞壞的華仔
