-
GEP(基因表达式程序设计)是一种新的演化算法,该文件是基本的GEP编程,采用功能的封装格式,测试通过,能够方便的使用。...
GEP(基因表达式程序设计)是一种新的演化算法,该文件是基本的GEP编程,采用功能的封装格式,测试通过,能够方便的使用。-GEP (Gene Expression Program Design) is a new evolutionary algorithm, which is the basic GEP programming, functional package format, through testing, to facilitate their use.
- 2022-11-11 00:30:03下载
- 积分:1
-
基层图书馆的县实现了SOM和学习。语言:C #(.NET…
Basic library that implements Kohonen s SOM and its learning. Lanuage: C# (.Net 3.5 Framework)
- 2022-04-16 09:27:37下载
- 积分:1
-
一个fuzzybp训练程序,初学者应该学习入门
一个模糊的YBP训练程序,初学者应该从入门开始学习
- 2022-03-18 01:27:56下载
- 积分:1
-
模拟退火c++的算法程序,广泛应用于最优化、运筹学、人工智能、遗传算法等领域,具有很好的学习价值...
模拟退火c++的算法程序,广泛应用于最优化、运筹学、人工智能、遗传算法等领域,具有很好的学习价值-simulated annealing algorithm procedures, the most widely used optimization, operations research, artificial intelligence, genetic algorithms and other areas of learning is very good value
- 2022-02-13 16:29:07下载
- 积分:1
-
基于遗传算法的体育彩票拟合与预测,经检验,中奖率高于随机号码。...
基于遗传算法的体育彩票拟合与预测,经检验,中奖率高于随机号码。-based on genetic algorithm fitting sports lottery and forecasts, on examination, the winning rate than random numbers.
- 2022-11-16 12:40:04下载
- 积分:1
-
Pattern Recognition book on pattern recognition paper book, the thesis introduct...
模式识别的书,介绍的论文模式识别的书,介绍的论文-Pattern Recognition book on pattern recognition paper book, the thesis introduction
- 2022-02-01 02:11:41下载
- 积分:1
-
- 2022-03-14 20:26:37下载
- 积分:1
-
支持向量机在初学者的java程序可以很容易地使用
支持向量机中的JAVA程序 初学者可以方便使用-Support Vector Machine in the JAVA program for beginners can easily use
- 2022-09-27 12:10:03下载
- 积分:1
-
人工智能课程中关于产生式系统部分上机实验的源代码,有很大参考价值。...
人工智能课程中关于产生式系统部分上机实验的源代码,有很大参考价值。-No
- 2022-03-30 00:12:31下载
- 积分:1
-
8. "Genetic algorithm and its application," Chen Guoliang edited and p...
8。《遗传算法及其应用》,陈国良等编着 人民邮电出版社 2001年第一版
本书系统全面地介绍了遗传算法的基本原理、设计方法及其并行实现,以及它在组合优化、机器学习、图像处理、过程控制、进化神经网络、模糊模式识别和人工生命等方面的应用。 本书可作为高等院校计算机、无线电电子学、自动控制、生物医学工程等有关专业高年级学生或研究生的教材和参考书,也可供从事人工智能、信息处理研究和应用的科技人员学习参考。-8. "Genetic algorithm and its application," Chen Guoliang edited and published with the People"s Post and in 2001 the first book version of the full introduction of the genetic algorithm basic tenets , design methods and parallel implementation, and its portfolio optimization, machine learning, image processing, process control, evolutionary neural networks, Fuzzy Pattern Recognition and Artificial Life, and so on the application. The book can be used as institutions of higher learning computers, radio electronics, automatic control, biomedical engineering, and other professional grade students or graduate teaching and reference materials, are also available in artificial intelligence, information processing and application of information technology to study.
- 2022-05-09 10:19:43下载
- 积分:1