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Population

  • county, random Population coordinates were generated using the complete spatial randomness (CSR) fun

    county, random Population coordinates were generated using the complete spatial randomness (CSR) function in S-PLUS. Then, the background information was attached to each individual county based on the county?s distribution for the class of interest. Finally, all counties were merged into a single dataset that describes the whole state

    標簽: coordinates Population randomness generated

    上傳時間: 2014-01-18

    上傳用戶:hn891122

  • Population Reference Model

    Population Reference Model

    標簽: Population Reference Model

    上傳時間: 2014-09-03

    上傳用戶:123啊

  • Matlab Implementation of Population based Global Bee Colony Search Algorithm

    Matlab Implementation of Population based Global Bee Colony Search Algorithm

    標簽: Implementation Population Algorithm Matlab

    上傳時間: 2013-12-19

    上傳用戶:大融融rr

  • Reading and Writing iButtons v

    Abstract: This application note explains the hardware of different types of 1-Wire® interfaces and software examples adapted to this hardware with a focus on serial ports. Depending on the types of iButtons required for a project and the type of computer to be used, the most economical interface is easily found. The hardware examples shown are basically two different types: 5V general interface and 12V RS-232 interface. Within the 5V group a common printed circuit board could be used for all circuits described. The variations can be achieved by different Populations of components. The same principal is used for the 12V RS-232 interface. The Population determines if it is a Read all or a Read/Write all type of interface. There are other possible circuit implementations to create a 1-Wire interface. The circuits described in this application note cover many different configurations. For a custom application, one of the described options can be adapted to meet individual needs.

    標簽: iButtons Reading Writing and

    上傳時間: 2013-10-29

    上傳用戶:long14578

  • 基因算法(GA) GA 是一種啟發式的優化法 (heuristic optimization method)

    基因算法(GA) GA 是一種啟發式的優化法 (heuristic optimization method), 它是通過既定的隨機搜索進行操作.優化問題的可能的解的集合被認為是 個體(individuals)組成的 人群(Population). 一個個體對它的環境的適應程度由它的 健康度(fitness)表示.

    標簽: optimization heuristic method GA

    上傳時間: 2014-01-14

    上傳用戶:wl9454

  • #if !defined(AFX_GAQUEEN_H__C26AE0A3_F9B4_426F_A324_B460CC7946CB__INCLUDED_) #define AFX_GAQUEEN_H_

    #if !defined(AFX_GAQUEEN_H__C26AE0A3_F9B4_426F_A324_B460CC7946CB__INCLUDED_) #define AFX_GAQUEEN_H__C26AE0A3_F9B4_426F_A324_B460CC7946CB__INCLUDED_ #if _MSC_VER > 1000 #pragma once #endif // _MSC_VER > 1000 class CGAQueen { public: CGAQueen(int nPopulation,int nIteration,float Mutation,int mChBoard) virtual ~CGAQueen() void Clear() // to clear chess board with 0 value void InitialPopulation() // to create the first and initial randomPopulation void FillArea(int index) // to fill chess board with desired chromosome int CostFunc(int index) // determine the cost of matrix[index][index] void PopulationSort() // to sort Population from the best to the worst void GenerateCrossOverMatrix() // a way to create children from parent is CcrossOver void Mating() // to create children from parents void Ap

    標簽: AFX_GAQUEEN_H INCLUDED defined define

    上傳時間: 2015-12-27

    上傳用戶:wuyuying

  • Particle swarm optimization (PSO) was originally designed and introduced by Eberhart and Kennedy (E

    Particle swarm optimization (PSO) was originally designed and introduced by Eberhart and Kennedy (Ebarhart, Kennedy, 1995 Kennedy, Eberhart, 1995 Ebarhart, Kennedy, 2001). The PSO is a Population based search algorithm based on the simulation of the social behavior of birds, bees or a school of fishes. This algorithm originally intends to graphically simulate the graceful and unpredictable choreography of a bird folk. Each individual within the swarm is represented by a vector in multidimensional search space.

    標簽: optimization introduced originally and

    上傳時間: 2017-09-08

    上傳用戶:hoperingcong

  • Building Future Smart Cities

    The world Population is continuously growing and reached a significant evolution of the society, where the number of people living in cities surpassed the number of people in rural areas. 

    標簽: Building Future Cities Smart

    上傳時間: 2020-05-23

    上傳用戶:shancjb

  • Cognitive+Radio+Receiver+Front-Ends

    Wireless technology has been evolving at a breakneck speed. The total number of cell-phones in use (as of 2011) was over 6 billion for a 7 billion world Population [1] constituting 87% of the world Population. Additionally, with user convenience be- coming paramount, more and more functions are being implemented wirelessly. 

    標簽: Front-Ends Cognitive Receiver Radio

    上傳時間: 2020-05-26

    上傳用戶:shancjb

  • Implementing+802.11

    Communication, a word that many associate with modern technology, actually has nothing to do with technology. At its core, communication involves nothing more than the spoken or written word, and symbolic languages like art and music. Technology has become synonymous with communication because technology has historically been the method by which communication to or by the general Population takes place. 

    標簽: Implementing 802.11

    上傳時間: 2020-05-27

    上傳用戶:shancjb

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