Analysis of Analog Neural Network Model with CMOS Multipliers
Liliana Docheva, Alexander Bekiarski, Ivo Nikolaev Dochev · Brno University of Technology Digital Library (Brno University of Technology) · 2007
Abstract. The analog neural networks have some very useful advantages in comparison with digital neural net-work, but recent implementation of discrete elements gives not the possibility for realizing completely these advan-tages. The reason of this is the great variations of discrete semiconductors characteristics. The VLSI implementation of neural network algorithm is a new direction of analog neural network developments and applications. Analog design can be very difficult because of need to compensate the variations in manufacturing, in temperature, etc. It is necessary to study the characteristics and effectiveness of this implementation. In this article the parameter variation influence over analog neural network behavior has been investigated.