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用于机器人的识别路程的优化,用与其中，去得很好的结果
用于机器人的识别路程的优化,用与其中，去得很好的结果-For the robot to identify the optimal way to use and which to very good results
- 2022-08-19 17:33:03下载
- 积分：1
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本程序用于训练RBF神经网络权值的量子粒子群优化…
此程序为训练RBF网权值的量子粒子群优化算法，供各位参考-this program for training RBF net weights Quantum Particle Swarm Optimization Algorithm for reference
- 2022-01-25 17:23:12下载
- 积分：1
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Cellular Automata and fine
细胞自动机的，很好的-Cellular Automata and fine
- 2023-05-27 12:05:03下载
- 积分：1
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好用的统计模式识别工具箱，用matlab编写的，有…
很好用的统计模式识别工具箱，用matlab编写，enjoy！-good use of statistical pattern recognition toolkit, prepared using Matlab, enjoy!
- 2022-03-05 07:48:25下载
- 积分：1
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基本遗传算法源程序（基于基本遗传算法的函数最优化C程序）...
基本遗传算法源程序（基于基本遗传算法的函数最优化C程序）-Basic genetic algorithm source code (based on a function of the basic genetic algorithm optimization procedure C)
- 2022-02-15 09:24:04下载
- 积分：1
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Jilin University, "Computational Intelligence" Curriculum courseware
吉林大学《计算智能》课程的课件-Jilin University, "Computational Intelligence" Curriculum courseware
- 2022-06-18 06:14:11下载
- 积分：1
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基于Hopfield神经网络解决旅行商问题，模式…
基于Hopfield神经网络解决旅行商问题，学习模式识别的朋友可以参考-Based on the Hopfield neural network to solve traveling salesman problem, pattern recognition learning can refer to a friend
- 2022-11-08 14:00:04下载
- 积分：1
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Kohonen network learning process can be described as follows : for each one netw...
Kohonen网络的学习过程可描述为：对于每一个网络的输入，只调整一部分权值，使权向量更接近或更偏离输入矢量，这一调整过程就是竞争学习。随着不断的学习过程，所有输入矢量都在输入矢量空间相互分离，形成了各自代表输入空间的一类模式，这就是Kohonen网络的特征自动识别的聚类功能。请解压缩后按照readme提示进行操作。-Kohonen network learning process can be described as follows : for each one network input, only part of adjusting the weights, weight vector closer to or further from the input vector, the adjustment process is competitive learning. With the continuous process of learning, all the input vector in the importation of vector space separate form their own representatives importation of a type of space, and this is a Kohonen network of automatic clustering functions. Please decompress after readme according to instructions.
- 2022-01-26 05:40:46下载
- 积分：1
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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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室内移动机器人定位与导航关键技术研究,新思路
室内移动机器人定位与导航关键技术研究,新思路-Indoor mobile robot localization and navigation key technology research and new ideas
- 2022-07-19 19:47:36下载
- 积分：1
