资源列表
TSP
- 用遗传算法、贪心算法以及穷举法对TSP问题进行求解-Genetic algorithm, the greedy algorithm and the brute-force method to solve the TSP problem
back-fire-matlab
- 模拟退火算法，给力。强大。自学篇。 模拟退火算法，给力。强大。自学篇。-The simulated annealing algorithm, to the force. Powerful. The self-study articles. The simulated annealing algorithm, to the force. Powerful. The self-study articles. The simulated annealing algorithm, to the forc
jiugong
- 九宫格问题求解，包含广度优先，有界深度优先以及全局择优三种算法，自己写的，比较简单-Squared problem solving, including breadth-first, bounded depth-first, and a global selection of the best three algorithms, write their own, relatively simple
20news-18828.tar
- 20-GROUP-数据集合。用于大规模算法实验输入数据。与其他数据集合对比的标准参考数据集，不可或缺的成分-20-GROUP-data collection. Experimental input data for large-scale algorithm. Standard reference data set compared with other data collection, an essential ingredient
clustering-algorithm
- 蚁群算法， 蚁群算法， 蚁群算法-Ant algorithm, ant colony algorithm, ant colony algorithm, ant colony algorithm, ant colony algorithm
Channel_coding.tar
- Channel coding methods
10.1.1.28.3430
- Neural Adaptive Feedback Linearizing Control of a High-Order Power System by Kingsley Onojefe Chukwuemeka Fregene A thesis presented to the University of Waterloo in ful¯ lment of the thesis requirement for the degree of Master of
10.1.1.117.2622
- Neuron Optimization Based PID Approach for Cutting Force Control S. Jiang1,a, Y.S. Xu1 and J. Wu1 1School of Mechanical Engineering, Tianjin University, Tianjin, 300072, China ajs73@eyou.com Keywords: Cutting process, Neural network control,
1
- Current debates regarding the possible cognitive implications of ideas from adaptive behavior research and dynamical systems theory would benefit greatly from a careful study of simple model agents that exhibit minimally cognitive behavior. T
2_9
- AN ADAPTIVE CONTROLLER BASED ON NEURAL NETWORKS FOR MOTOR-DRIVE LOAD SIMULATOR Shen Dongkai Wang Zhanlin College of Automation Science and Electrical Engineering Beijing University of Aeronautics and Astronautics Beijing 100083, P.R.China r
liziqun
- 用粒子群算法求解多峰多极值函数的全局最优解-Particle swarm algorithm for solving multi-modal global optimal solution of the extremal function
moniduihuo
- 用模拟退火算法求多峰多极值函数的全局最优解-With simulated annealing algorithm and multi-modal global optimal solution of the extremal function