Title :
CNN. I. A generic class of locally-connected, smart, analog, and parallel computation circuits
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
Abstract :
The cellular neural network (CNN) is a generic class of locally connected, smart, analog and parallel computation circuits. An overview is given of the key principles and the various classes of multidimensional processing arrays. Key research areas are identified
Keywords :
analogue processing circuits; cellular arrays; neural nets; parallel processing; cellular neural network; locally-connected; multidimensional processing arrays; parallel computation circuits; smart analog circuits; Analog computers; Cellular neural networks; Circuits; Concurrent computing; Delay; Geometrical optics; Neural networks; Programmable logic arrays; Signal processing; Stability;
Conference_Titel :
Circuits and Systems, 1992., Proceedings of the 35th Midwest Symposium on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-0510-8
DOI :
10.1109/MWSCAS.1992.271311
