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nsga2非支配排序遗传算法，c++源码实现
nsga2非支配排序遗传算法，c++源码实现-nsga2 non-dominated sorting genetic algorithm, c++ source code to achieve
- 2022-07-15 23:12:29下载
- 积分：1
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模式识别的源代码，针对大样本集中样本自动分类的程序，可以手动控制输入点！
模式识别的源代码，针对大样本集中样本自动分类的程序，可以手动控制输入点！-pattern recognition source code, sample concentration on large samples of automatic classification procedure can be controlled manually input!
- 2023-07-30 20:25:02下载
- 积分：1
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c++的程序 有关神经网络的,请站长加我,
c++的程序 有关神经网络的,请站长加我,-c procedures of the neural network, for my head, thank you
- 2022-01-29 01:52:50下载
- 积分：1
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c k prepared by the average pattern recognition algorithm
c++编写的模式识别k均值算法-c k prepared by the average pattern recognition algorithm
- 2022-02-21 12:30:26下载
- 积分：1
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这是我自己编的从数据中自动提取模糊规则的程序,这个文件中包括了一个主程序和几个函数,能够自动提起模糊规则、合并优化模糊规则。...
这是我自己编的从数据中自动提取模糊规则的程序,这个文件中包括了一个主程序和几个函数,能够自动提起模糊规则、合并优化模糊规则。-This is my own series of the data from the automatic extraction of fuzzy rules procedures, the document includes a main program and several function, can automatically initiate fuzzy rules, merging optimization fuzzy rules.
- 2022-01-26 08:15:42下载
- 积分：1
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The SVM
人工智能模式识别中基于支持向量机的分类算法在识别领域属于较新的应用-The SVM-based classification algorithm is a kind of new application in the field of artificial intelligence and pattern recognition.
- 2022-02-04 13:25:13下载
- 积分：1
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neural network algorithm original program content in more detail. We hope to dis...
神经网络算法原程序内容较详细。希望大家仔细讨论这个问题。-neural network algorithm original program content in more detail. We hope to discuss this issue carefully.
- 2022-12-08 04:05:02下载
- 积分：1
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实现增量支持向量机算法，通过选择增量的因素…
实现增量SVM算法，通过对因子的选择增量式的来训练SVM，大大加快了SVM算法的训练速度-To achieve incremental SVM algorithm, through the choice of factors Incremental to train SVM, greatly accelerated the speed of SVM training algorithm. .
- 2022-01-25 21:48:35下载
- 积分：1
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交流 模糊控制
交流 模糊控制
交流 模糊控制
交流 模糊控制-Exchange of the exchange of fuzzy control fuzzy control
- 2023-07-17 06:05:04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
