HIERARCHICAL ANALOG BEHAVIORAL MODELING OF ARTIFICIAL NEURAL NETWORKS

Authors
AHMED MM HADDARA H RAGAIE HF
Citation
Mm. Ahmed et al., HIERARCHICAL ANALOG BEHAVIORAL MODELING OF ARTIFICIAL NEURAL NETWORKS, Analog integrated circuits and signal processing, 16(2), 1998, pp. 121-139
Citations number
25
Categorie Soggetti
Computer Science Hardware & Architecture","Engineering, Eletrical & Electronic","Computer Science Hardware & Architecture
Journal title
Analog integrated circuits and signal processing → ACNP
ISSN journal
09251030
Volume
16
Issue
2
Year of publication
1998
Pages
121 - 139
Database
ISI
SICI code
0925-1030(1998)16:2<121:HABMOA>2.0.ZU;2-A
Abstract
A hierarchical methodology for analog behavioral modeling of the basic building blocks of neural networks is presented using HDL-A.(1) This hierarchy is formed of three levels in order to satisfy the different requirements of the CAD tools which may incorporate the models. The pr esented models include all the nonidealities present in the actual cir cuit in addition to being flexible and consuming shorter simulation ti me. This improvement in simulation time is verified through examples a t both the circuit and system levels.