Title :
Toward the application of an analog input dual output CNNNUM chip in transient analysis of mechanical vibrating systems
Author :
Szolgay, Peter ; Salvi, I. ; Szolgay, Zsófia
Author_Institution :
Comput. & Autom. Inst., Hungarian Acad. of Sci., Budapest, Hungary
Abstract :
The large computing power of the cellular neural networks (CNNs) is used here to compute the transient response of a mechanical vibrating system. A basic question is how a mechanical system can be decomposed into homogeneous parts, avoiding the rise of space variant templates which can not be implemented on current analog CNN universal machine (CNNUM) chips. A computational complexity to time transformation is proposed in this paper
Keywords :
cellular neural nets; computational complexity; mechanical engineering computing; transient analysis; CNN universal machine; analog input dual output neural net chip; cellular neural networks; computational complexity; mechanical vibrating systems; time transformation; transient analysis; Analog computers; Boundary conditions; Cellular neural networks; Equations; Logic; Mechanical systems; Semiconductor device measurement; Time measurement; Transient analysis; Vibration measurement;
Conference_Titel :
Intelligent Engineering Systems, 1997. INES '97. Proceedings., 1997 IEEE International Conference on
Conference_Location :
Budapest
Print_ISBN :
0-7803-3627-5
DOI :
10.1109/INES.1997.632426
