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最短寻路算法,利用Astar算法实现,是arp游戏中的寻路模型,有图例...
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本人编写的incremental 随机神经元网络算法,该算法最大的特点是可以保证approximation特性,而且速度快效果不错,可以作为学术上的比较和分析。
本人编写的incremental 随机神经元网络算法,该算法最大的特点是可以保证approximation特性,而且速度快效果不错,可以作为学术上的比较和分析。目前只适合benchmark的regression问题。
具体效果可参考
G.-B. Huang, L. Chen and C.-K. Siew, “Universal Approximation Using Incremental Constructive Feedforward Networks with Random Hidden Nodes”, IEEE Transactions on Neural Networks, vol. 17, no. 4, pp. 879-892, 2006.
-I prepared by incremental random neural network algorithm, which is characterized by the largest approximation properties can be guaranteed, and fast good results can be used as an academic comparison and analysis. The current benchmark is only suitable for the regression problem. Specific effects may refer G.-B. Huang, L. Chen and C.-K. Siew,
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On the point interpolation and curve interpolation procedure, this procedure can...
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采用的是康力山等人确定的实验参数。 对于n个城市的旅行商问题,其参数如下: 初始温度:t0=280, 每一个温度下采用固定的迭代次数L=100n, 温度的衰
采用的是康力山等人确定的实验参数。 对于n个城市的旅行商问题,其参数如下: 初始温度:t0=280, 每一个温度下采用固定的迭代次数L=100n, 温度的衰减系数alpha=0.92 算法停止的准则是当相邻两个温度得到的解变化很小时算法停止。-used the Stanozolol Hill were determined by the experimental parameters. N cities for the traveling salesman problem, the parameters are as follows : initial temperature : t0 = 280, each a fixed temperature of the iteration number L = 100n, temperature attenuation coefficient alpha = 0.92 algorithm to stop the criteria when two adjacent the temperature change was very Solution Algorithm stop.
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