We survey and summarize the literature on the computational aspects of neural network
models by presenting a detailed taxonomy of the various models according to their complexity …

… will benefit the newcomer to neural computing who will be … neural computing solutions but
also for final-year undergraduates or graduate students who are working on neural computing …

… , general purpose neural functions are achieved by a micro-programming architecture. Each
neuron … stream) processing, and thus any neural functions may be implemented by simply …

… to map general-purpose computation to graphics hardware, and survey the various
general-purpose computing … for and challenges of general-purpose GPU computing. Why …

… design for neural network implementation, this paper presents a new technique for harnessing
hardware neural networks in general-purpose computations. We show that using neural …

… This work represents a convergence of three main bodies of research: approximate
computing, general-purpose configurable acceleration, and hardware neural networks. …

… required in online artificial neural networks (ANNs), ie, general purpose ANNs with learning
… Our general purpose architecture seeks to fill that gap and at the same time serve as a tool …

… For the purposes of this book we shall only consider the numeric techniques as they have
… discussion of neural computing. That is not to say that people do not use neural networks for …

… to neural computing This tutorial is an introduction to the field of neural computing. It is the
first in … to apply artificial neural networks (ANNs) to power systems. They give an overview and …

… We developed an ANN accelerator ”Neuro Turbo” using recently introduced general purpose
24 bits floating point DSP, MB86220. The Neuro Turbo is a MIMD type parallel processor …