资源列表
tabu-search-for-tsp
- 利用禁忌搜索算法解决50个城市的tsp问题，简单易懂，适合初学者-The use of tabu search algorithm to solve 50 problems tsp city, easy-to-read, suitable for beginners
人工智能
- 清华大学人工智能讲义-Tsinghua University, notes in artificial intelligence
bpnnet_154
- L-M算法。除了动量法(基于梯度下降的训练算法)外，学习率自适应调整策略是BP算法改进的另一种途径，它利用Levenberg-Marquardt优化方法，从而使得学习时间更短。其缺点是，对于复杂的问题，该方法需要很大的存储空间。 -L-M algorithm. In addition to momentum (based on the gradient descent algorithm for training), learning rate adaptive strategy is to i
stprtool15aug08
- 统计模式识别算法包，包括线性分类算法，SVM，PCA，LDA，EM，k-means分类等多种常用的模式识别算法。-Statistical pattern recognition algorithm package, including a linear classification algorithm, SVM, PCA, LDA, EM, k-means classification and many other commonly used pattern recognition algori
bp
- 小波神经网络电力负荷预测,有较强的学习价值和应用价值-Wavelet neural network power load forecasting, there are strong learning value and applied value
RBF
- 用RBF神经网络，完成对y=f(x)的曲线拟合。-Using RBF neural networks, complete the y = f (x) the curve fitting.
Steepest
- 计算梯度下降法计算极值，只能找到局部最小点。可以通过调整步长实现全局最小-Calculation of gradient descent method to calculate extreme value, can only find local minimum point. By adjusting the step size can achieve the global minimum
Generic-Algorithm-for-TSP
- 运用优化遗传算法解决100个城市的TSP问题，即要选定一条从驻地出发，经过每个城市一遍，最后回到驻地的路线，使总的路程最小。-Optimize the use of genetic algorithms to solve 100 cities TSP problem, which was to select a departure from the resident, after each city once again, and finally returned to the resident
em
- em算法是一种估计最优参数的方法 又名最大期望算法-em algorithm is a way to estimate the optimal parameters, also known as the greatest expectations algorithm
nelinsys
- 非线性系统工具箱,有很多函数可以直接调用!-Nonlinear systems toolbox, there are many functions can be called directly!
jiqi
- 机器手末端轨迹规划程序.rar-Robot trajectory planning for the end of the procedure. Rar
myPSO
- 一个用粒子群做的路径规划。功能比较简单，障碍物就是几个点。-A particle swarm to do with the path planning. Function is relatively simple, barrier is a few points.