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genetic algorithm to achieve, c/vc/GA
遗传算法的实现,c++/vc++/遗传算法的学习安例!-genetic algorithm to achieve, c/vc/GA-cases of learning!
- 2022-04-21 10:03:54下载
- 积分:1
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这个程序是个神经网络提供学习能力的实例,是前一个simpleann的功能加强版。...
这个程序是个神经网络提供学习能力的实例,是前一个simpleann的功能加强版。-this procedure is a neural network learning ability example is the former simpleann an enhanced version of the function.
- 2023-03-20 08:20:03下载
- 积分:1
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详细介绍EM算法的好书!!!!PDF格式
详细介绍EM算法的好书!!!!PDF格式-EM algorithm detailed book! ! ! ! PDF format
- 2022-10-06 21:00:03下载
- 积分:1
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character recognition system
字符识别系统——利用双重用途分类后的神经网络系统对原始字符进行识别编码
- 2022-06-26 02:50:51下载
- 积分:1
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that the procedure was an integral version of the PSO procedures. The procedure...
该程序是一整数版的PSO程序。该程序对于整数版PSO的各种应用可作为模板程序。-that the procedure was an integral version of the PSO procedures. The procedure for integer version of the PSO as a template application procedures.
- 2023-03-27 04:05:03下载
- 积分:1
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matlab 模拟退火算法simulated anealing 的工具箱
matlab 模拟退火算法simulated anealing 的工具箱-Matlab simulated annealing simulated anealing the Toolbox
- 2022-09-08 11:15:02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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兔子狐狸生态平衡模拟器,可以模拟兔子狐狸相互依存的状况。...
兔子狐狸生态平衡模拟器,可以模拟兔子狐狸相互依存的状况。-The zoology balance simulator of rabbit and fox ,which can simulate the status of rabbit and
fox depended on each other.
- 2022-05-30 07:17:45下载
- 积分:1
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神经网络BP算法
神经网络BP算法-neural network algorithm
- 2022-05-06 02:03:44下载
- 积分:1
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本人编写的incremental 随机神经元网络算法,该算法最大的特点是可以保证approximation特性,而且速度快效果不错,可以作为学术上的比较和分析。
本人编写的incremental 随机神经元网络算法,该算法最大的特点是可以保证approximation特性,而且速度快效果不错,可以作为学术上的比较和分析。目前只适合benchmark的regression问题。
具体效果可参考
G.-B. Huang, L. Chen and C.-K. Siew, “Universal Approximation Using Incremental Constructive Feedforward Networks with Random Hidden Nodes”, IEEE Transactions on Neural Networks, vol. 17, no. 4, pp. 879-892, 2006.
-I prepared by incremental random neural network algorithm, which is characterized by the largest approximation properties can be guaranteed, and fast good results can be used as an academic comparison and analysis. The current benchmark is only suitable for the regression problem. Specific effects may refer G.-B. Huang, L. Chen and C.-K. Siew,
- 2022-01-24 15:02:30下载
- 积分:1