Title :
The quantum-dot large-neighborhood cellular nonlinear network (QLN-CNN) in nanotechnology
Author :
Lin, Li-Ju ; Cheng, Chiu-Hung ; Huang, Kuan-Hsun ; Wu, Chung-Yu
Author_Institution :
Dept. of Electron. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
Abstract :
The quantum-dot large-neighborhood cellular neural (nonlinear) network (QLN-CNN) is proposed and analyzed. In the proposed QLN-CNN, the quantum dots are used to realized neuron cells whereas the strength of Coulombic forces among neurons are used as weights among neurons. The proposed QLN-CNN can perform the functions of image noise removal. It has small chip area and high cell density. Moreover, the power dissipation is very low. Thus large-size QLN-CNN could be realized for nanoelectronic systems
Keywords :
VLSI; cellular neural nets; low-power electronics; nanotechnology; neural chips; semiconductor quantum dots; Coulombic forces; QLN-CNN; cell density; chip area; image noise removal; nanotechnology; neuron cells; power dissipation; quantum dots; quantum-dot large-neighborhood cellular nonlinear network; Cellular networks; Cellular neural networks; Electrons; Integrated circuit interconnections; Intelligent networks; Nanotechnology; Neurons; Power dissipation; Quantum cellular automata; Quantum dots;
Conference_Titel :
Nanotechnology, 2001. IEEE-NANO 2001. Proceedings of the 2001 1st IEEE Conference on
Conference_Location :
Maui, HI
Print_ISBN :
0-7803-7215-8
DOI :
10.1109/NANO.2001.966443