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经典算法clique的java实现
经典算法clique的java实现-Classical algorithm clique of the java implementation! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !
- 2022-07-19 20:21:53下载
- 积分:1
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一个用c++builder实现的神经网络算法的程序
一个用c++builder实现的神经网络算法的程序-c builder with a realization of the neural network algorithm for the procedure
- 2022-12-17 21:40:03下载
- 积分:1
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control toolbox based on neural network
基于神经网络的控制工具箱-control toolbox based on neural network
- 2022-10-18 04:50:04下载
- 积分:1
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weka 源代码很好的 对于学习 数据挖掘算法很有帮助
weka 源代码很好的 对于学习 数据挖掘算法很有帮助-weka source code good for learning data mining algorithms helpful
- 2022-07-18 00:39:00下载
- 积分:1
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高手学习人工智能心得体会。想学习人工智能的可以来
高手学习人工智能心得体会。想学习人工智能的可以来-master learning artificial intelligence experiences. Want to study artificial intelligence can s
- 2022-08-06 20:27:15下载
- 积分:1
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Jilin University, "Computational Intelligence" Curriculum courseware
吉林大学《计算智能》课程的课件-Jilin University, "Computational Intelligence" Curriculum courseware
- 2022-06-18 06:14:11下载
- 积分:1
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神经网络的相关应用项目
神经网络的相关应用项目-neural network-related application projects
- 2022-07-17 01:27:08下载
- 积分:1
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蚂蚁算法,c语言版,其中,‘F’点表示食物,‘H’表示窝,白色块表示障碍物,‘+’就是蚂蚁了。...
蚂蚁算法,c语言版,其中,‘F’点表示食物,‘H’表示窝,白色块表示障碍物,‘+’就是蚂蚁了。-Ant algorithm, c language version, of which,
- 2022-03-03 18:03:43下载
- 积分:1
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一种通过自组织竞争学习网络实现数据降维和可视化的单层神经网络模型。用此算法可以把输入空间的多维映射到低维的(一维或者二维)的离散网络上,并将保持相同性质的输入数
一种通过自组织竞争学习网络实现数据降维和可视化的单层神经网络模型。用此算法可以把输入空间的多维映射到低维的(一维或者二维)的离散网络上,并将保持相同性质的输入数据在映射到低维空间时的拓扑一致性。iris以及letter两个数据集进行分类-A competitive learning through self-organizing network for data dimensionality reduction and visualization of single-layer neural network model. Using this algorithm can be multi-dimensional input space is mapped to the low-dimensional (one-dimensional or two-dimensional) discrete network, and will remain the same as the nature of the input data is mapped to the low-dimensional space of topological consistency. iris as well as the letter the two data sets to classify
- 2022-02-11 22:55:39下载
- 积分:1
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Kohonen network learning process can be described as follows : for each one netw...
Kohonen网络的学习过程可描述为:对于每一个网络的输入,只调整一部分权值,使权向量更接近或更偏离输入矢量,这一调整过程就是竞争学习。随着不断的学习过程,所有输入矢量都在输入矢量空间相互分离,形成了各自代表输入空间的一类模式,这就是Kohonen网络的特征自动识别的聚类功能。请解压缩后按照readme提示进行操作。-Kohonen network learning process can be described as follows : for each one network input, only part of adjusting the weights, weight vector closer to or further from the input vector, the adjustment process is competitive learning. With the continuous process of learning, all the input vector in the importation of vector space separate form their own representatives importation of a type of space, and this is a Kohonen network of automatic clustering functions. Please decompress after readme according to instructions.
- 2022-01-26 05:40:46下载
- 积分:1