搜索资源列表
melodyRecognition
- 自动语音识别源码对非特定人的孤立词语音识别算法 进行研究。考虑到语音识别技术在嵌入式系统处理能力较弱、存储空间有限的问 题上进行算法的选择和优化,以提高系统的鲁棒性,减少系统的 -Automatic speech recognition source code for non-specific human isolated word speech recognition algorithm research. Taking into account the voice recogni
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- 本文主要将蚁群算法用于解决连续函数优化的问题-This paper will be used for ant colony algorithm to solve the problem of continuous function optimization
Asp_To_Html
- 本软件可以把网站中的ASP文件转成HTML文件便于网站优化!-This software can be ASP site documents into HTML documents to facilitate site optimization!
pso2
- 基于改进的粒子群算法,可以用来求解函数优化问题-Based on Improved Particle Swarm algorithm, can be used to solve the function optimization problem
Optimization
- 一款系统优化的软件,可以帮助用户进行简单的系统优化工作,这是它的源码-A system optimization software can help users to optimize the work of a simple system, which is its source
Matlab_Particle_Swarm_Optimization
- 这个程序就是最基本的粒子群优化算法程序,用Matlab实现,非常简单。只有几十行代码。正所谓一分钱一分货啊,优化效果不总是令人满意。我还有几个改进的粒子群优化算法版本,这一段时间会陆续发上来。-This procedure is the most basic particle swarm optimization procedures, using Matlab to achieve, is very simple. Only a few dozen lines of code. Penny a
PID-GAs
- 遗传算法的PID调节 题目:已知 ,利用GA 寻优PID参数,其中K=1,T=2, ,二进制/实数编码,位数不限,M,Pc,Pm自选,性能指标 ,Q=100为仿真计算步长。-PID regulation of genetic algorithms Title: known, the use of PID parameters of GA optimization, in which K = 1, T = 2,, binary/real-coded, not limited to the me
psobp
- 该文件是使用粒子群算法来求解BP神经网络饿最优解,进而对样本数据训练学习-The document is the use of particle swarm optimization to solving hunger BP neural network the optimal solution, and then the training sample data for the study
simulatedannealing
- General simulated annealing algorithm-anneal Minimizes a function with the method of simulated annealing (Kirkpatrick et al., 1983) ANNEAL takes three input parameters, in this order: LOSS is a function handle (anonymous function or
Optimization
- These M-files are implementations of the algorithms from the book "Iterative Methods for Optimization", to be published by SIAM, by C. T. Kelley. The book, which describes the algorithms, is available from SIAM (service@siam.org).
gold-optimization-algorithm
- 采用0.618黄金分割法求解最优解,编译软件为KEIL C,其中ak=3.985776,f(ak)=-155.9915 -0.618 golden section method used to solve the optimal solution, the compiler software for the KEIL C, in which ak = 3.985776, f (ak) =- 155.9915
ACOTSP.V1.0
- 大师级人物写的蚁群算法解决TSP问题,真的挺不错,你可以下下来看看的.- Program s name: acotsp Ant Colony Optimization algorithms (AS, ACS, EAS, RAS, MMAS, BWAS) for the symmetric TSP Copyright (C) 2004 Thomas Stuetzle This program is free software yo
Graphcoloring
- 采取邻接矩阵的搜索算法实现了对图的着色,是一种数值优化算法-Adjacency matrix to a search algorithm for graph coloring, is a numerical optimization algorithm
0000
- 本程序用来实现对非线性函数求解优化程序的主要算法采用遗传算法实现-This procedure is used to achieve non-linear functions to solve optimization procedure using genetic algorithm main algorithms
liziquan
- 基于粒子群算法的高速公路速度可变控制。可以用来仿真-Based on particle swarm optimization variable speed control of the highway. Simulation can be used to
MQAM
- 摘要本文首先分析了自适应调制的原理, 它以频谱效率最高为准则, 在恒定功率约束条件下对接收信噪 比优化来选择不同调制阶数。然后引入时变多径信道模型, 通过仿真给出了自适应在此信道条件下的性能, 并分析 了信道估计误差对其性能的影响。 关键词自适应调制, 调制, 时变信道-Abstract This paper first analyzes the principle of adaptive modulation, spectral efficiency it up to standa
37724100frog
- 细菌觅食优化算法 ,解决比例积分控制器参数优化的程序,对初学细菌算法很有帮助。-Bacterial foraging optimization algorithm to solve PI controller parameter optimization procedure, useful for beginners bacterial algorithm.
52ccc55a371572d86a7d2c6992a2591b
- 企业网站建设 应用程序开发 网络商城建设 网站优化推广 国际域名注册 虚拟主机 企业邮局等!-Enterprise Application Development Web Site construction mall construction site optimization to promote international domain name registration web hosting companies and post offices!
Genetic-optimization-of-C-clustering
- 运用遗传优化算法优化模糊C均值聚类,通过全局自适应寻优,寻找出更为精确的模糊聚类中心-Using genetic optimization algorithm to optimize the fuzzy C-means clustering, global adaptive optimization to find a more precise fuzzy clustering center
Constrained Optimization
- In mathematical optimization, constrained optimization (in some contexts called constraint optimization) is the process of optimizing an objective function with respect to some variables in the presence of constraints on those variables. The objectiv