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This procedure is prepared bp artificial neural networks, btw samples for identi...
本程序是人工编写的bp神经网络，针对识别样本btw三类进行训练和识别。-This procedure is prepared bp artificial neural networks, btw samples for identification of three types of training and identification.
- 2022-02-01 10:08:54下载
- 积分：1
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C语言中的ADALINE神经网络算法的介绍。
介绍了神经 网络中的ADALINE算法的C语言实现.-Introduction of the ADALINE neural network algorithm in C language.
- 2022-03-24 08:36:48下载
- 积分：1
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本文件为遗传算法的工具箱，包括遗传算法的各种选择、交叉、变异等算法。...
本文件为遗传算法的工具箱，包括遗传算法的各种选择、交叉、变异等算法。-This document is for the genetic algorithm toolbox, including a variety of genetic algorithm selection, crossover, mutation and other algorithms.
- 2022-06-14 02:46:17下载
- 积分：1
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遗传算法 遗传算法
遗传算法 遗传算法-Genetic algorithm genetic algorithms genetic algorithms
- 2022-05-01 01:50:07下载
- 积分：1
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基于java实现的遗传算法
神经网络 实数编码 交叉 选择 变异
基于java实现的遗传算法
神经网络 实数编码 交叉 选择 变异-achieve genetic neural network algorithm is coded cross-choice variant
- 2022-02-21 13:16:03下载
- 积分：1
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用GAlib库实现的解决0/1背包问题的遗传算法程序源代码。
用GAlib库实现的解决0/1背包问题的遗传算法程序源代码。- Solution 0/1 knapsack question heredity algorithm procedure
source code realizes which with the GAlib storehouse.
- 2022-01-22 12:22:53下载
- 积分：1
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他算法相当于Infomax贝尔和Sejnowski 1995 [ 1 ]利用最大。
he algorithm is equivalent to Infomax by Bell and Sejnowski 1995 [1] using a maximum likelihood formulation. No noise is assumed and the number of observations must equal the number of sources. The BFGS method [2] is used for optimization.
The number of independent components are calculated using Bayes Information Criterion [3] (BIC), with PCA for dimension reduction.
- 2023-08-15 10:45:03下载
- 积分：1
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用MATLAB编写的支持向量机，实现了线性可分的…
用MATLAB编写的支持向量机，实现了线性可分与线性不可分的情况，还有非线性支持向量机，里面部分常用的核函数。-Prepared using MATLAB support vector machine, to achieve a linearly separable and linear indivisible, it is still non-linear support vector machine, which part of the kernel function used.
- 2022-03-21 07:15:22下载
- 积分：1
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有关优化的遗传算法
有关优化的遗传算法-the genetic algorithm optimization
- 2022-03-14 03:01:56下载
- 积分：1
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该软件实现了粒子滤波和基于Rao-Blackwellised粒子滤波…
The software implements particle filtering and Rao Blackwellised particle filtering for conditionally Gaussian Models. The RB algorithm can be interpreted as an efficient stochastic mixture of Kalman filters. The software also includes efficient state-of-the-art resampling routines. These are generic and suitable for any application.-The software implements particle filteri Vi and Rao Blackwellised particle filtering az r conditionally Gaussian Models. The RB algori thm can be interpreted as an efficient stochast ic mixture of Kalman filters. The software also includes efficient state-of-the-art resampl ing routines. These are generic and suitable az r any application.
- 2022-03-19 18:07:36下载
- 积分：1
