International Conference on Information, Electronic and Computer Science (ICIECS 2010 E-BOOK)

Zibo,China,11.26-11.28,2010

ISBN: 978-1-935068-42-6 Scientific Research Publishing, USA

E-Book 2224pp Pub. Date: November 2010

Category: Computer Science & Communications

Price: $360

Title: Parameter Estimate for Logistic Models Based on Evolution Strategies
Source: International Conference on Information, Electronic and Computer Science (ICIECS 2010 E-BOOK) (pp 495-498)
Author(s): Ming Zhang, School of Science, Dalian Ocean University, Dalian, China, 116023
Shengzhe Gao, School of Science, Dalian Ocean University, Dalian, China, 116023
Hui Gao, School of Science, Dalian Ocean University, Dalian, China, 116023
Abstract: This paper presents one solution to compute the parameter to the logistic models based on evolution strategies optimization algorithm. Maximum likelihood approach is adopted to be the fitness function for the optimization problem, so the model of computing parameter to the logistic models based on evolution strategies has been established. The numerical computation results indicate that the algorithm offers effective way to estimate the parameter of the logistic models, high convergence rate and high accuracy.
Free SCIRP Newsletters
Copyright © 2006-2024 Scientific Research Publishing Inc. All Rights Reserved.
Top