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微分进化算法DE是1995年由Rainer Storn和Kenneth Price首先提出。DE已被证明在求解过程中具有高效性、收敛性、鲁棒性等优点[5,6]...
微分进化算法DE是1995年由Rainer Storn和Kenneth Price首先提出。DE已被证明在求解过程中具有高效性、收敛性、鲁棒性等优点[5,6] 。它在许多优化问题中都表现出优于自适应模拟退火算法、POS 算法、GA算法的性能。DE利用实数值参数向量作为每一代的种群，它的自参考种群繁殖方案与其他优化算法不同。-DE was first proposed in 1995 by Rainer Storn and Kenneth Price and had been proven that it is efficient, convergent, and robust in the solution process. [5,6] In many optimize questions, its performance surpasses the adaptive simulated annealing algorithm, the POS algorithm, and the GA algorithm. DE gets each generation of population using the real value parameter vector, and the crucial idea of DE is a scheme for generating trial parameter vectors.
- 2022-04-30 12:55:51下载
- 积分：1
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neural network C procedures for the Chapter 6
神经网络C程序的第6章-neural network C procedures for the Chapter 6
- 2022-01-27 17:30:06下载
- 积分：1
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应用径向基神经网络作预测的matlab程序
应用径向基神经网络作预测的matlab程序-application RBFNN forecast for the Matlab procedures
- 2022-04-15 02:28:41下载
- 积分：1
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用元胞自动机实现单色10000个空间位置的细菌分裂试验的算法C语言代码...
用元胞自动机实现单色10000个空间位置的细菌分裂试验的算法C语言代码-Using Cellular Automata 10,000 monochrome realize spatial location of bacteria to split the test algorithm C language code
- 2022-10-22 03:20:03下载
- 积分：1
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Neural network and genetic algorithm combined with the need for friends goes wit...
神经网络与遗传算法结合，需要的朋友就不用多说了，仅供学习和参考。-Neural network and genetic algorithm combined with the need for friends goes without saying, for learning and reference.
- 2023-03-07 02:45:03下载
- 积分：1
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BP神经网络预测
BP神经网络预测-BP neural network prediction
- 2022-01-25 21:19:01下载
- 积分：1
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基于Matlab的函数优化遗传算法程序 .
基于Matlab的函数优化遗传算法程序 .-based on Matlab function of genetic algorithm optimization procedures.
- 2022-03-25 22:02:17下载
- 积分：1
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一个利用hough变换来检测图像中直线的函数的源代码
一个利用hough变换来检测图像中直线的函数的源代码-using a Hough transform to detect images linear function of the source code
- 2022-05-22 09:08:13下载
- 积分：1
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人工智能中一个关于野人过河的小程序
人工智能中一个关于野人过河的小程序-AI Savage cross the river on a small procedure
- 2022-02-01 22:47:14下载
- 积分：1
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In this paper, we designed a 3
文中设计了一个3层径向基神经网络(RBFN)用于对企业的5项评价指标进行聚类分析，并与蚁群算法做了比较分析。RBFN由输入层
到隐含层采用传统的K一均值算法，隐含层到输出层通过“模2递减”学习速率的BP学习；蚁群算法根据信息素的分配能够自动调整收索
路径，从而达到数据自动聚类的目的。结果表明，与蚁群算法相比，改进RBFN具有快速收敛、自动识别奇异样本的优点，而蚁群算法
无须教师学习，并能够达到全局最优。-In this paper, we designed a 3-layer RBF neural network (RBFN) for the 5-to-business evaluation indicators cluster analysis and ant colony algorithm has done a comparative analysis. RBFN from input layer to hidden layer using the traditional K-means algorithm, hidden layer to output layer through the Mode 2 decreasing learning rate of BP learning ant colony algorithm based on pheromone can automatically adjust the allocation of land Faso path, thereby to achieve the purpose of automatic data clustering. The results showed that compared with the ant colony algorithm to improve the RBFN has a fast convergence, automatic identification of singular advantage of the sample, while the ant colony algorithm do not need teachers to learn and be able to reach the global optimum.
- 2022-11-25 09:35:03下载
- 积分：1
