- demand_paging_swap Linux 内核中Demand paging 与swap 机制的源码分析
- bin this a testing code
- 00898a_Determining-MOSFET-Driver-Needs-for-Motor- Determining MOSFET Driver Needs for Motor Drive Applications
- TabStopSpan_StandardTest The interface to a valid policy tree node for the PKIX certification path validation algorithm.
- NONLINEAR ANALYSIS OF STRUCTURES USING FEM
- clock-program 51单片机写的时钟程序
资源列表
Wavelets_Approximation
- Wavelets, Approximation and Statistical Applications-Wavelets. Approximation and Statistical Applications
constitutivemodeling
- neural networks 相关书籍-neural networks books
MOPCNN_code
- matlab 和C++下联合编程构建的多尺度无序的卷积神经网络,是对caffe的一种扩充-MOPCNN source code
GeneticTSP-master(java)
- 遗传算法解决TSP问题,Java编写源码,github(Solving TSP problem by genetic algorithm)
Manhattan-loop-genetic-algorithm
- Manhattan回路—遗传算法求解,用遗传算法解哈密顿回路的c++ -Manhattan loop genetic algorithm
d4ef13.ZIP
- 单件车间调度问题的改进型病毒进化遗传算法Job-shop scheduling problem improved virus evolutionary genetic algorithm-Job-shop scheduling problem improved virus evolutionary genetic algorithm
Self-Organized-Formation
- 关于人工神经网络的文献,对于研究人工神经网络的人还是很有帮助的。-The literature on artificial neural networks, artificial neural networks for the study of people are still very helpful.
TSP
- 一个基于模拟退火算法的程序,用以解决旅行问题,简单易懂-Simulated annealing algorithm to solve travel problems
benchmark_results-master
- 这组代码是关于深度学习开发的入门程序,我硕士期间开发的,能成功实现,对人工智能初学者具有重大帮助。-This set of code is on the depth of learning and development of the entry process, I developed during the master, can be successful, artificial intelligence beginners with great help.
ga2
- 遗传算法,一个简单的库提供基本的算法语言,有很多改进和附加-ga2 is a simple C++ library providing the necessary base classes to implement a genetic algorithm in C++. It is based loosely on Goldberg' s canonical GA, but with many modifications, improvements and additional featu
tsp
- 简单的贪心算法解决tsp问题。输入的时候麻烦点,读者可以加以修改,使程序完善。-Tsp simple greedy algorithm to solve the problem. When the input trouble spots, readers can be modified to process improvement.
LQR and MPC for 4tank system
- Mathematical developmet to MPC and LQR algorithms
