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java编写的贝叶斯网络分类器（貌似没有模型构建和参数学习过程）...
java编写的贝叶斯网络分类器（貌似没有模型构建和参数学习过程）-java prepared by the Bayesian network classifier (seemingly no model of the learning process and parameters)
- 2023-03-28 23:10:03下载
- 积分：1
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Weka机器学习系统（网站下载），一个简化的再发展…
weka机器学习系统（本站可下载）的拓展，简化了从关系数据库中提取数据-weka machine learning system (download site), the development of a simplified relational database from which to extract data
- 2022-03-05 23:54:36下载
- 积分：1
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GCP(图着色问题)的模拟退火算法应用源码
GCP(图着色问题)的模拟退火算法应用源码-GCP (Graph Coloring Problem) application of the simulated annealing algorithm source code
- 2022-01-28 13:04:45下载
- 积分：1
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有关遗传算法的源码
有关遗传算法的源码-the genetic algorithm source code
- 2022-07-25 23:43:21下载
- 积分：1
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基于遗传算法的排课系统，可以实现多种课程的排列
基于遗传算法的排课系统，可以实现多种课程的排列-based on genetic algorithm Course Scheduling System, can achieve a wide variety of courses with the
- 2023-01-28 02:55:03下载
- 积分：1
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"artificial neural network" contains practical network model, learning...
《人工神经元网络》含有实用的网络模型、学习规则和训练方法的一些算法程序，对学习人工智能，模式识别的人有一些帮助！-"artificial neural network" contains practical network model, learning rules and the training methods of some algorithm for the study of artificial intelligence, pattern recognition of some help!
- 2022-03-12 05:07:56下载
- 积分：1
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神经网络隐节点合成算法，用于神经网络泛化能力的提高，和大家共享！...
神经网络隐节点合成算法，用于神经网络泛化能力的提高，和大家共享！-Hidden node neural network synthesis algorithm for neural network generalization capability, and the U.S. share!
- 2022-05-21 22:17:46下载
- 积分：1
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实现了fisher线性分类器的功能,源码使用matlab编程,通俗易懂
实现了fisher线性分类器的功能,源码使用matlab编程,通俗易懂-Realize the fisher linear classifier functions, source code using matlab programming, user-friendly
- 2022-08-09 03:57:22下载
- 积分：1
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程序包含的设置包括：列数、样本总个数、建模样本数、预报因子数、预报对象数、学习因子、 动量因子、训练次数、总体误差、隐节点数。...
程序包含的设置包括：列数、样本总个数、建模样本数、预报因子数、预报对象数、学习因子、 动量因子、训练次数、总体误差、隐节点数。-procedures contained in the set include : number, the total sample number, the number of samples modeling, forecasting several factors, forecasting several targets, learning factor, momentum factor, the number of training, the overall error of hidden nodes.
- 2022-03-18 09:02:11下载
- 积分：1
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自组织系统Kohonen网络模型。对于Kohonen神经网络，竞争是这样进行的：对于“赢”的那个神经元c，在其周围Nc的区域内神经元在不同程度上得到兴奋，而在N...
自组织系统Kohonen网络模型。对于Kohonen神经网络，竞争是这样进行的：对于“赢”的那个神经元c，在其周围Nc的区域内神经元在不同程度上得到兴奋，而在Nc以外的神经元都被抑制。网络的学习过程就是网络的连接权根据训练样本进行自适应、自组织的过程，经过一定次数的训练以后，网络能够把拓扑意义下相似的输入样本映射到相近的输出节点上。网络能够实现从输入到输出的非线性降维映射结构：它是受视网膜皮层的生物功能的启发而提出的。~..~-Kohonen network model. For Kohonen neural network, competition is this : For the "winner" of neurons c, in its switching around the region neurons in varying degrees, to be excited, and the switching outside the neurons were inhibited. Network learning is a process in the network connecting the right under the training samples for adaptive, self-organizing process, after a certain number of training, network topology can sense similar to the mapping of the input samples similar to the output nodes. Network can be achieved from input to output of nonlinear reduced-dimensional mapping structure : it is subject to retinal cortex of the biological function inspired by. ~ ~ ..
- 2022-11-15 05:40:03下载
- 积分：1
