Fuzzy logic computer using charge coupled devices

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395900, 364807, G06F 1500

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active

051366851

ABSTRACT:
A fuzzy logic operation circuit for two inputs includes two identical charge coupled devices having at least first and second gate electrodes connected in parallel on an output side and floating gates provided to a transfer electrode on an input side. A comparison device compares charge detection signals from the floating gates with each other and selects an input signal of either the smaller or greater of the two inputs by the comparison output.
A fuzzy computer includes a defuzzifier composed of charge coupled devices which intake and transfer a set of fuzzy data elements in parallel. Pairs of positive and negative gate electrodes are located transversely to the charge coupled devices. The gate electrodes in each pair differ in their effective area to the corresponding charge coupled devices and all the positive and negative electrodes are connected together in respective groups. Each of the positive and negative groups senses independently as an electronic signal, such as voltage, the sum of weighted charge value at each charge coupled device behind the electrodes, multiplying by the weighing factors which are determined by the effective area of each electrode. A total output is obtained as the difference of the output signals at the positive and negative electrode groups.

REFERENCES:
patent: 4694418 (1987-09-01), Ueno et al.
patent: 4716540 (1987-12-01), Yamakawa
The Logic Design of Multiple-Valued Logic Functions Using Charge Coupled Devices; H. G. Kerkhoff et al; International Symposium on Multiple-Valued Logic; 25-27 May 1982; pp. 35-44.
Multiple-Valued Logic Charge-Coupled Devices; H. G. Kerkhoff et al; IEEE Trans. on Computers, vol. C-30, No. 9; Sep. 1981; pp. 644-652.
Multiple-Valued VLSI and Systolic Array with CCD Reallization; J. Han; Progress in Computer-Aided VLSI Design; vol. 3, Implementations; pp. 67-118; Ablex Publishing, Norwood, NJ, USA, 1989.
A CCD Realization of VSLI Fuzzy Inference Machine in Expert System; J. Han et al; Pittsburgh Conference on Modeling and Simulation; pp. 855-859; 5-6 May 1988.

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