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Sorting by Hopfield net

机译:按Hopfield网排序

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In a manner similar to T.T. Hopfield and D.W. Tank'snimplementation of the traveling salesman problem on a Hopfield net (Bio.nCybern. vol. 52, p.141-52, 1985), a Hopfield net is programmed to sort anlist of arbitrary positive numbers. A detailed derivation of thenmathematical constraints is presented, from the general four-axis energynequations to the numerical simulations. Excellent results were obtainednfrom the simulations for sorts on lists containing 4 to 10 evenly spacednintegers. It was found that increasing the list size n or thenspacing f caused the network to become increasingly sensitivento the two parameters C and D, but near-optimal valuesnfor these were found. Sorting is probably a considerably more practicalnuse of neural nets than solving the traveling salesman problem sincensorts are used extensively throughout many applications
机译:以类似于T.T. Hopfield和D.W. Tank在Hopfield网络上实现旅行商问题(Bio.nCyber​​n。vol。52,p.141-52,1985),对Hopfield网络进行编程以对任意正数列表进行排序。提出了从通用四轴能量方程到数值模拟的数学约束的详细推导。从包含4到10个均匀间隔的整数的列表中进行的排序模拟中获得了极好的结果。发现增加列表大小 n 或然后间隔 f 会导致网络对两个参数 C D < / e1>,但发现这些值接近最佳值。与解决旅行推销员问题相比,排序可能是一种更为实用的神经网络,因为排序在许多应用中得到了广泛的应用

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