@article{oai:ynu.repo.nii.ac.jp:00008798,
 author = {Yamanashi, Yuki and Umeda, Kazumasa and Yoshikawa, Nobuyuki},
 issue = {3},
 journal = {IEEE Transactions on Applied Superconductivity},
 month = {Jun},
 note = {A superconductive perceptron, an artificial neural network, has been investigated using single flux quantum (SFQ) stochastic logic. A superconductive pseudo sigmoid function generator that corresponds to an artificial neuron device for the perceptron has been proposed and implemented using an SFQ current comparator and a frequency-to-current converter, which generates current that is proportional to the average input SFQ frequency. A frequency-to-current converter has been implemented using a dc-SQUID voltage driver coupled with a Josephson transmission line. We implemented and tested the pseudo sigmoid function generator using the SRL 2.5 kA/cm2 Nb process. The measured input-output characteristic agreed with the ideal sigmoid function with an average error of 0.063%.},
 pages = {1701004--1701004},
 title = {Pseudo Sigmoid Function Generator for a Superconductive Neural Network},
 volume = {23},
 year = {2013}
}