蟻群算法的通用程序，ant colony OPTIMIZATION.
上傳時間： 2014-01-18
上傳用戶：jennyzai
非常好的優化算法的書，詳細介紹了蟻群算法和粒子群算法以及相關的matlab工具箱，講了理論和應用給出了工具箱的下載地址。 Swarm intelligence is an innovative computational way to solve hard problems. In particular, particle swarm OPTIMIZATION, also commonly known as PSO, mimics the behavior of a swarm of insects or a school of fish. If one of the particle discovers a good path to food the rest of the swarm will be able to follow instantly even if they are far away in the swarm. Swarm behavior is modeled by particles in multidimensional space that have two characteristics: a position and a velocity. These particles wander around the hyperspace and remember the best position that they have discovered. They communicate good positions to each other and adjust their own position and velocity based on these good positions.
標簽： 優化算法
上傳時間： 2014-01-26
上傳用戶：zgu489
小波神經網絡的源程序: 1.構造的非線性函數: 位于nninit_test.m 2.直接用WNN逼近非線性:Wnn_test.m, (內部調用小波函數) 3.遺傳算法優化后逼近 :GA_Wnn_test.m (內部調用遺傳算法的,初始化,適應度,解碼函數)-genetic algorithm OPTIMIZATION WNN source : 1. Construction of the nonlinear function : nninit_test.m at 2. WNN directly with nonlinear approximation : Wnn_test.m. (internal called wavelet function) 3. Genetic Algorithm OPTIMIZATION approach : GA_Wnn_test.m (internal called genetic algorithms, initialize, fitness and decoding functions)
標簽： nninit_test GA_Wnn_tes Wnn_test WNN
上傳時間： 2016-09-17
上傳用戶：LIKE
he algorithm is equivalent to Infomax by Bell and Sejnowski 1995 [1] using a maximum likelihood formulation. No noise is assumed and the number of observations must equal the number of sources. The BFGS method [2] is used for OPTIMIZATION. The number of independent components are calculated using Bayes Information Criterion [3] (BIC), with PCA for dimension reduction.
標簽： equivalent likelihood algorithm Sejnowski
上傳時間： 2016-09-17
上傳用戶：Altman
采用蟻群算法檢測圖像邊緣 This a demo program of image edge detection using ant colony, based on the paper, "An Ant Colony OPTIMIZATION Algorithm For Image Edge Detection," IEEE Congress on Evolutionary Computation (CEC), pp. 751-756, Hongkong, Jun. 2008.
標簽： detection program colony based
上傳時間： 2016-09-28
上傳用戶：cc1
使用C#程式語言開發，並執行於.NET Framework下；是研習「蟻拓尋優法」不可或缺的軟體工具。系統使用ACO (Ant Colony OPTIMIZATION)演算公式模擬螞蟻的覓食行徑抉擇。使用者可以設定費洛蒙和食物氣味強度等相關參數以及動態設定障礙物的位置和形狀，研習螞蟻覓食的最短路徑形成過程。研習各種參數設定對螞蟻覓食行為的影響，了解費落蒙機制對蟻拓尋優化法的影響。本系統可支援柔性計算教學，研習蟻拓優化法中人工螞蟻的隨機搜尋模式和啟發式法則設計原理。
標簽： 程式
上傳時間： 2013-12-24
上傳用戶：anng
一篇同學的碩士論文 --OFDMA Ressource Allocation using Multiuser Constant-Power Waterfilling. 關于OFDMA 資源分配的算法 用到凸優化(convex OPTIMIZATION)的理論 證明對多用戶的Waterfilling算法可以實現優化原則
標簽： OFDMA Constant-Power Waterfilling Allocation
上傳時間： 2014-08-22
上傳用戶：GHF
We propose a technique that allows a person to design a new photograph with substantially less effort. This paper presents a method that generates a composite image when a user types in nouns, such as “boat” and “sand.” The artist can optionally design an intended image by specifying other constraints. Our algorithm formulates the constraints as queries to search an automatically annotated image database. The desired photograph, not a collage, is then synthesized using graph-cut OPTIMIZATION, optionally allowing for further user interaction to edit or choose among alternative generated photos. An implementation of our approach, shown in the associated video, demonstrates our contributions of (1) a method for creating specific images with minimal human effort, and (2) a combined algorithm for automatically building an image library with semantic annotations from any photo collection.
標簽： substantially photograph technique propose
上傳時間： 2016-11-24
上傳用戶：三人用菜
協同粒子群的原始文章，南非人所寫。a cooperative approach to particel swarm OPTIMIZATION
標簽： 粒子群
上傳時間： 2014-01-04
上傳用戶：小眼睛LSL
編譯器設計入門 內容 n Introduction n Setting Up the Tutorial n Graphical Interface n The Alarm Clock Design n Setting Design Environment n Setting Design Constraints n Overview of OPTIMIZATION Phases n Analysis of Report
標簽： Introduction Graphical Interface Tutorial
上傳時間： 2014-01-15
上傳用戶：hzy5825468
