Analog maximum neural network circuits using the switched capacitor technique

Y.B. Cho, K.C. Lee, Yoshiyasu Takefuji, N. Funabiki
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Abstract

The circuit of the maximum neural network based on the switched capacitor technique is proposed. The performance of the proposed circuit was derived from SPICE simulation. The bipartite subgraph problem is solved by using the proposed circuit. The SPICE simulation result confirms the function of the network. Because the complexity of the proposed analog circuit is so small, it is possible to fabricate an optimization system in a single chip.<>
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利用开关电容技术模拟最大神经网络电路
提出了一种基于开关电容技术的最大神经网络电路。通过SPICE仿真得到了该电路的性能。利用该电路解决了二部子图问题。SPICE仿真结果验证了该网络的功能。由于所提出的模拟电路的复杂性非常小,因此可以在单个芯片上制造一个优化系统。
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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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