利用BPTT技术调整自联想记忆中的记忆盆大小

T. Hatanaka, Y. Nishikawa
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摘要

在递归网络中构造了一个自联想存储器,该网络的连接矩阵由时间反向传播(BPTT)确定。通过多次计算机模拟,比较了该方法与常规方法产生的存储池。特别是,详细研究了BPTT调节盆地大小的能力
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Adjustment of the basin size in autoassociative memories by use of the BPTT technique
An auto-associative memory is constructed in a recurrent network whose connection matrix is determined by use of backpropagation through time (BPTT). Through several computer simulations, basins of the memory generated by this method are compared with those generated by the conventional methods. In particular, the ability of the BPTT to adjust the basin size is investigated in detail.<>
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Control of a robotic manipulating arm by a neural network simulation of the human cerebral and cerebellar cortical processes Neural network training using homotopy continuation methods A learning scheme of neural networks which improves accuracy and speed of convergence using redundant and diversified network structures The abilities of neural networks to abstract and to use abstractions Backpropagation based on the logarithmic error function and elimination of local minima
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