Architectural Design of Multiplicative type-II Fuzzy Cellular Neural Network in CMOS Technology

Author

Lai, Jui-Lin ; Lo, Yuan-Hung ; Chen, Rong-Jian ; Tai, Cheng-Fang

Author_Institution

Nat. United Univ., Miaoli

fYear

2007

fDate

20-23 June 2007

Firstpage

1

Lastpage

6

Abstract

The architecture of multiplicative type-II cellular neural networks with fuzzy (FCNN) is proposed, which is with local connectivity advantageous suitable implemented for VLSI. The fuzzy AND and fuzzy OR morphological operators in the Type II FCNN can be operated by Min and Max operations for the feel forward template from neighbouring cell of input image in dynamic parallel processing. Base on the proposed FCNN structure that the neuron, Min/Max, analog multiplier, transfer and control circuits are adopted and verified by the HSPICE. The desired experimental chip of 3 times 3 multiplicative type-II FCNN is fabricated using TSMC 0.35 mum 2P4M CMOS technology. The measurement results have successfully verified the correct function of FCNN. There have a great potential in the VLSI implementation of neural network systems for binary and gray-level patterns in image- processing for consume electronic applications.

Keywords

CMOS integrated circuits; SPICE; VLSI; cellular neural nets; fuzzy neural nets; minimax techniques; CMOS technology; HSPICE; TSMC; VLSI implementation; analog multiplier; binary level patterns; dynamic parallel processing; fuzzy AND; fuzzy OR; fuzzy cellular neural network; gray-level patterns; image processing; minmax operations; morphological operators; multiplicative type-II; size 0.35 mum; CMOS technology; Cellular neural networks; Circuits; Fuzzy logic; Fuzzy neural networks; Image edge detection; Image processing; Morphological operations; Neural networks; Very large scale integration; Cellular Neural Networks (CNN); Min/Max; VLSI; image-processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Consumer Electronics, 2007. ISCE 2007. IEEE International Symposium on

Conference_Location

Irving, TX

Print_ISBN

978-1-4244-1109-2

Electronic_ISBN

978-1-4244-1110-8

Type

conf

DOI

10.1109/ISCE.2007.4382205

Filename

4382205