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遗传算法的一些经典程序收集
遗传算法的一些经典程序收集-genetic algorithem2
- 2023-03-06 17:35:04下载
- 积分:1
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pazen window classifier, pattern recognition lesson learned, to write a small pr...
pazen window分类器, 在模式识别课学到的,自己写的一个小程序-pazen window classifier, pattern recognition lesson learned, to write a small program
- 2022-02-25 05:50:04下载
- 积分:1
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- 2022-07-07 02:33:34下载
- 积分:1
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based on the finite state machine language digital voice endpoint detection. Rar...
基于有限状态机的汉语数字语音端点检测.rar.rar格式为vip-based on the finite state machine language digital voice endpoint detection. Rar.rar format vip
- 2022-05-13 12:31:22下载
- 积分:1
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使用群智能模拟OMNET网络路由
use swarm intelligence to simulate network routings in omnet-use swarm intelligence to simulate networ k routings in omnet
- 2022-03-29 02:08:27下载
- 积分:1
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matlab prepared by BP neural network algorithm, a small process applications
matlab编写的BP神经网络算法,的一个应用小程序-matlab prepared by BP neural network algorithm, a small process applications
- 2023-01-10 08:25:03下载
- 积分:1
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Propositional logic in the inference rule can be used to prove that a propositio...
命题逻辑中的推理规则可以用来证明一个已经表示成命题公式的定理,但它还不便于机械化实施。因为其中的各条规则都未指明在推导的什麽步骤上应该引入什麽前提或中间结论,这些还有赖于人的经验技巧和才能。1960年王浩提出的算法,可以完全脱离人的经验和技巧,机械地构造每一步推导,证明一个命题逻辑定理的成立。
-Propositional logic in the inference rule can be used to prove that a propositional formula has been expressed as the theorem, but it is not easy to implement mechanization. Because the rules did not specify what steps in the derivation of what should be the introduction of the premise or intermediate conclusions, which also depends on the person s experience of the skills and talent. Wang Hao in 1960 proposed algorithm can be completely divorced from the person s experience and skills, a mechanical structure is derived for each step to prove that a propositional logic theorem establishment.
- 2022-03-07 22:04:02下载
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手写汉字识别 应用SVM和神经网络进行识别,可自行训练
手写汉字识别 应用SVM和神经网络进行识别,可自行训练-Handwritten Chinese Character Recognition Application of SVM and neural networks to identify their own training
- 2023-08-18 10:25:03下载
- 积分:1
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网络为3层结构,输入层为6个神经元,隐含层为4个神经元,输出层为1个神经元,当输入层为中心对称样本 1,0,0,0,0,1等时,网络输出为1,否则输出为0。...
网络为3层结构,输入层为6个神经元,隐含层为4个神经元,输出层为1个神经元,当输入层为中心对称样本 1,0,0,0,0,1等时,网络输出为1,否则输出为0。-network of three-layer structure, input layer to six neurons to the hidden layer 4 neurons, the output layer to a neuron, when the input layer to the center symmetry samples such as 1,0,0,0,0,1, the output of a network, the output is 0.
- 2022-11-03 03:50:03下载
- 积分:1
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多
关于多目标优化的代码,这个代码是一个框架,大家可以修改一下-Multi-objective optimization on the code, the code is a framework, we can make some corrections
- 2023-04-16 18:00:04下载
- 积分:1