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BP神经网络实现回归程序,神经网络可以从reunificat学习…
一个bp实现回归的nn程序,可以从中学习神经网络在回归中的应用-Bp realize a return nn procedures, neural networks can learn from the reunification of the application
- 2022-03-25 19:01:13下载
- 积分:1
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这是一篇对PSO算法可以使用从事人工智能的学生…
这是一篇关于pso利用的文章 也许对搞人工智能的的同学有很大的用处-This is an article on the PSO may use to engage students in artificial intelligence have great usefulness
- 2022-03-30 23:04:33下载
- 积分:1
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该软件已经在部分教材上的艾我写所谓的_the BAS…
This software was done in part for a textbook on AI I ve written called _The Basis of AI_ (tentative title, subject to change but not if I get my way). For details see: http://www.mcs.com/~drt/basisofai.html
- 2022-12-17 05:55:04下载
- 积分:1
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将强化学习算法应用于Tic
将强化学习算法应用于Tic-tac-toe游戏-The reinforcement learning algorithm is applied to Tic-tac-toe game
- 2022-01-26 03:08:18下载
- 积分:1
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instructors put sequential learning into traditional learning instructors, weka...
把 sequential 有导师学习问题转化为传统的有导师学习问题,是weka机器学习系统(本站可下载)的一个拓展-instructors put sequential learning into traditional learning instructors, weka machine learning system (download site), an expansion
- 2022-04-24 17:16:03下载
- 积分:1
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primes factor in scheme
primes factor in scheme
- 2022-02-25 18:47:05下载
- 积分:1
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遗传算法的源程序例子,对于初学者有很大帮助,建议多
遗传算法的源程序例子,对于初学者有很大帮助,建议多-Genetic algorithm source code examples are very helpful for beginners, the proposed multi-
- 2022-01-26 15:42:26下载
- 积分:1
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ID3算法的另一种用java实现的代码,利用向量。
ID3算法的另一种用java实现的代码,利用向量。-Another ID3 algorithm realize with java code, using vector.
- 2022-02-16 03:14:05下载
- 积分:1
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KNN和BP的算法实现。输入一系列的样本值,进行训练和分类。源码是实现了两个分类器,已经调试通过
KNN和BP的算法实现。输入一系列的样本值,进行训练和分类。源码是实现了两个分类器,已经调试通过-KNN and BP algorithm. Enter a series of sample values, for training and classification. Source is to achieve the two classifiers have been debugging through
- 2022-03-17 14:09:57下载
- 积分:1
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使用二进制和实数编码变量的遗传算法实现。混合变量…
This a GA implementation using binary and real coded variables. Mixed variables can be used. Constraints can also be handled. All constraints must be greater-than-equal-to type (g >= 0) and normalized (see the sample problem in prob1 in objective()).-This a GA implementation using binary and real coded variables. Mixed variables can be used. Constraints can also be handled. All constraints must be greater-than-equal-to type (g gt;= 0) and normalized (see the sample problem in prob1 in objective()).
- 2022-02-07 16:02:59下载
- 积分:1