搜索资源列表
AI
- Solving Problem inheritance by Prolog The parents of Mark are Linda and Peter. The parents of Fiona are Linda and Peter. The parents of Andrea are Fiona and Andrew. The parents of John are Fiona and Andrew. The parents of Eileen are Andrea and A
doctoral
- PhD Thesis Abstract: Superimposed Radio Signals for Wireless Sensor Networks
PSO-phd-thesis
- 这是一篇关于PSO的phd论文，关于算法的改进的分析很全面，-It is a phd thesis about pso algorithm, which afford almost all directions of development of pso
fuzzy-clustering
- 模糊聚类新算法的研究与应用，这势必一篇博士毕业论文，总结了博士研究期间的一些成果，对于学习聚类的同学们有很大的帮助-Research and application of fuzzy clustering algorithm, which is bound to a Ph.D. thesis, summarizes some of the results of the PhD study period, a great help for students learning clustering
LIBSVM-using
- LIBSVM 是台湾大学林智仁(Chih-Jen Lin)博士等开发设计的一个操作简单、 易于使用、快速有效的通用SVM 软件包-LIBSVM Taiwan University, Lin Zhiren (Chih-Jen Lin), PhD, developed and designed a simple, easy to use, fast and effective generic SVM package
MPF-vs-PHD
- 边缘粒子滤波（MPF）将状态方程中线性部分和非线性部分分别用卡尔曼滤波和粒子滤波进行估计，可以提高跟踪的精度，所以将其引入到PF-PHD滤波中，将二者接合起来，以提高PF-PHD滤波的跟踪精度。MPF-PHD滤波可以很好的提高跟踪的精度，抗干扰能力强，具有良好的鲁棒性。-Because of that MPF use KLAM and PSO to evaluate,which can achieve higher accurty.combing MPF and PF-PHD can achie
yadian
- 压电作动器迟滞非线性建模与补偿控制研究_李巍，迟滞补偿器，迟滞回归线拟合，很好的博士论文-Piezoelectric actuator hysteresis nonlinear modeling and compensation control research Li Wei, retardation compensator, hysteresis regression line fitting, good PhD thesis
Non_manuver_4targets_PHD
- 本文是实现PHD滤波的程序代码，内带有该文章。用于仿真多目标杂波环境下对目标的跟踪与估计-This is the realization of PHD filtering program code with the article within. Clutter Simulation multi-target environment for target tracking and estimation for
PhD
- 非常有用的人脸识别工具包，包含了各种PCA,LDA, KPCA, KFA及其变种。在Matlab环境下可以直接运行。-The PhD (Pretty helpful Development functions for) face recognition toolbox is a collection of Matlab functions and scr ipts intended to help researchers working in the field of face recognit
rengongyiqun
- 蚁群算法(ant colony optimization, ACO)，又称蚂蚁算法，是一种用来在图中寻找优化路径的机率型算法。它由Marco Dorigo于1992年在他的博士论文中提出，其灵感来源于蚂蚁在寻找食物过程中发现路径的行为。蚁群算法是一种模拟进化算法，初步的研究表明该算法具有许多优良的性质。针对PID控制器参数优化设计问题，将蚁群算法设计的结果与遗传算法设计的结果进行了比较，数值仿真结果表明，蚁群算法具有一种新的模拟进化优化方法的有效性和应用价值。-Ant colony algori
0-svnn
- 这段代码实现了一个新的MLP神经网络训练方法,来自论文A new method for neural network regularization（内附）-This code implements a new training method for MLP neural networks, named Support Vector Neural Network (SVNN), proposed in the work: O. Ludwig “Study on Non-parametric Me
python machine learning
- 作者是Sebastian Raschka，密歇根州立大学的博士生，他在计算生物学领域提出了几种新的计算方法，还被科技博客Analytics Vidhya评为GitHub上最具影响力的数据科学家。他有一整年都使用Python进行编程的经验，同时还多次参加数据科学应用与机器学习领域的研讨会。在数据科学、机器学习以及Python等领域他拥有丰富的演讲和写作经验，本书可使得不具备机器学习背景的人设计出由数据驱动的解决方案。(The author, Sebastian Raschka, a PhD stu