yuchuli

CUDA by Example, written by two senior members of the CUDA software platform team, shows programmers how to employ this new technology, including a concise introduction to the CUDA platform and architecture, as well as a quick-start guide to CUDA C.

说明：  模糊聚类算法，实现对数据的聚类分析，供大家参考(Fuzzy clustering algorithm, the realization of the cluster analysis of data for the U.S. reference)

说明：  车牌识别程序，结合C++和MATLAB语言编写。在雨天、或光线不足时保持高识别率。(License plate recognition program, combined with C++ and MATLAB language. In the rain, or light enough to maintain a high recognition rate.)

matlab 7.0基础教程中文版。全书386页，实用超星阅览器阅读。(matlab 7.0 Essentials Chinese version. Book 386, practical Chaoxing reader to read.)

遗传算法中二十个非常经典的原代码，可以直接运行。(ga optimization－20 examples。I can be useful to the new learner of Ga mutiobject optimization. )

实际的场景，若电梯的最大载客量m=10，设电梯中已有的 客人服从0-10 之间的均匀分布，且电梯中的任意一人在任意一层下的 概率相同，若你在第三层需要乘电梯到第七层，电梯处在第一层，共 8 层。且在每一层等电梯到达他们的目的楼层的客人服从0-3 的均匀分 布此时我们对电梯的运行加一些限 制，即电梯中若有客人未达目的地，电梯不会改变运行方向，求直到 你到达第七层为止，，电梯需停次数的数学期望，并进行计算机模拟验 证。(The actual scene, if the maximum lift capacity m = 10, the elevator has been designed to obey the guests uniformly distributed between 0-10, and the elevator in any one at any level under the same probability, if you The third layer needs to take the elevator to the seventh floor, the elevator in the first layer, a total of 8 layers. And in each level to reach their goals such as the elevator floor guests subject to the uniform distribution of 0-3 at this time we add some restrictions on the operation of the elevator, the elevator if it has not reached the destination guests, the lift will not change the direction, request until you reach the seventh floor so far, the elevator number of mathematical expectation to be stopped, and the computer simulation.)

运用matlab语言基于极大似然估计法对非负二项进行拟合的小程序(Matlab language use based on maximum likelihood estimation method for two non-negative small-fitting procedures)

Integrating Highlights to Play-break Sequences for More Complete Sport Video Summarization 篮球场上哨鸣声检测(Integrating Highlights to Play-break Sequences for More Complete Sport Video Summarization )

线性递减权重粒子群优化算法是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视，并且在解决实际问题中展示了其优越性。 (Linear decreasing weight particle swarm optimization starting from random solutions to find the optimal solution by iteration, it is also the fitness to evaluate the quality of the solution, but it is much simpler than the genetic algorithm rules, it is not a genetic algorithm " cross" (Crossover) and " variation" (Mutation) operation, which follow the current search for the optimal value to find the global optimum. The advantage of this algorithm is its ease of implementation, high accuracy, fast convergence and attracted the attention of the academic community, and demonstrated its superiority in solving practical problems.)

SCPI_99 doc. SCPI driver develp doc.entry-level to deep level, comprehensive separately.