1992-12-18
1995-06-06
MacDonald, Allen R.
395900, G06G 700
Patent
active
054229782
ABSTRACT:
A fuzzy neuron device which applies the fuzzy theory and the neuron theory. The device comprises a plurality of synapses each having a membership function, a first minimum value computing circuit for extracting the minimum value signal in the device from the outputs of the plurality of synapses, an extension circuit which is a component of a second minimum value computing circuits, and an extension terminal for connecting a plurality of extension circuit to each other so as to produce the second computing circuit. A device assembly may be produced by connecting a plurality of the devices to each other. In the device assembly, the second computing circuit extracts the minimum value signal in the assembly from the plurality of minimum signals in the respective devices.
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Gupta et al, "Synaptic and Somatic Learning and Adaptation in Fuzzy Neural System", 1991 IEEE Int'l Joint Conf or Neurol Networks, Nov. 18-21 1991, pp. 875-880 vol. 1.
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"A Fuzzy Neuron Chip and Its Application to a Pattern Recognition System," IFSA'91 Brussels (1991).
Oh Masanari
Yoshitake Akio
MacDonald Allen R.
Rohm & Co., Ltd.
Shapiro Stuart B.
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