资源列表
SVMtest
- SVM算法的例子和简单说明，可以用于学习SVM算法。-SVM algorithm examples and simple instructions, can be used for SVM learning algorithm.
Sparse-Reconstruction_2.0
- 基于分散近似的稀疏重建算法,用于l1-l2规划，图像去噪，图像压缩等。-sparse reconstruction by separable approximation
PF-MT-by-Vaswani
- Iowa大学的Vaswani使用水平集和粒子滤波的方法跟踪目标轮廓，对变形物体有很好的跟踪效果。-University of Iowa Vaswani using the particle filter and the level set method to track the target profile, the deformation of the object have a good tracking results.
PF-paper
- 粒子滤波的经典文献和资料，可以很好地说明粒子滤波过程。-Classical particle filter literature and information, can be a good descr iption of particle filtering process.
mohudaoyin
- 该程序使一个基于模糊控制的无人机导引技术程序，它能够把飞机导引到合适的攻击区域，最终完成对目标的攻击。-The program enables a UAV based on fuzzy control technology, the program guide, which can guide the aircraft to the appropriate area of attack, the final completion of the target of attacks
neural-fuzzy-soft-computing-
- 神经模糊软计算书的配套代码-Neuro-fuzzy soft computing book supporting code
GA
- 遗传算法的源程序，用于解决旅行商问题（TSP）-Genetic algorithm source code for solving the traveling salesman problem (TSP)
yiqun01
- 蚁群智能优化算法，程序结构清晰，简单易懂-Intelligent ant colony optimization algorithm, program structure clear and easy to understand
hhwt(1.0)
- 用于解决离散优化问题的混合蛙跳算法，用其求解TSP问题-For solving mixed discrete optimization problems leapfrog algorithm for solving TSP problems with its
SFLA(C)
- 混合蛙跳算法是人工智能优化领域新兴的计算技术，具有全局寻优能力强，简单易懂的特点！-Hybrid leapfrog algorithm is the emerging field of artificial intelligence to optimize computing technology, with global optimization capability, easy to understand the characteristics!
MyGa_1.0
- 基于Fortran语言的实数编码的遗传算法，非并行版本，里面有多种常见的选择算子，交叉算子，变异算子可选，并加入了小生境技术，最佳个体保存技术。对学习遗传算法的朋友们很有帮助。-Fortran-based language for real-coded genetic algorithm, non-parallel version, there are many common selection operator, crossover operator, mutation operator is
general_genetic
- 通用遗传算法类，遗传算法在设计时，因为不同的优化问题需要使用不同的评估函数，且遗传算法优化时，可能优化二进制的表达形式、也可能优化的是数值问题，导致遗传算法很能有一个通用的设计。采用本案中，通过使用代理函数public delegate double DelegateFunc(Vector x) 且允许用户自行设定优化问题的分类(数值优化还是二进制串型优化问题)。允许使用者自行定义评估函数，使遗传算法有了更大的通用性。-A general genetic algorithm，for numeri