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» VLSI Implementation of Neural Networks
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ANNS
2010
13 years 2 months ago
Search Space Restriction of Neuro-evolution through Constrained Modularization of Neural Networks
Evolving recurrent neural networks for behavior control of robots equipped with larger sets of sensors and actuators is difficult due to the large search spaces that come with the ...
Christian W. Rempis, Frank Pasemann
GLVLSI
2005
IEEE
132views VLSI» more  GLVLSI 2005»
14 years 1 months ago
FPGA implementation of a modular and pipelined WF scheduler for high speed OC192 networks
In this paper we propose an FPGA implementation of a multi protocol Weighted Fair (WF) queuing algorithm able to handle variable length packets targeted for Packet Over Sonet (POS...
Abdallah Merhebi, Otmane Aït Mohamed
IJCAI
1997
13 years 9 months ago
Evolvable Hardware for Generalized Neural Networks
This paper describes an evolvable hardware (EHW) system for generalized neural network learning. We have developed an ASIC VLSI chip, which is a building block to configure a scal...
Masahiro Murakawa, Shuji Yoshizawa, Isamu Kajitani...
ISCAS
2006
IEEE
122views Hardware» more  ISCAS 2006»
14 years 1 months ago
256-channel integrated neural interface and spatio-temporal signal processor
Abstract- We present an architecture and VLSI implemen- Various strategies in the analysis of spatio-temporal dynamtation of a distributed neural interface and spatio-temporal ics ...
J. N. Y. Aziz, Roman Genov, B. R. Bardakjian, M. D...
FPGA
1997
ACM
124views FPGA» more  FPGA 1997»
13 years 11 months ago
A FPGA-Based Implementation of a Fault-Tolerant Neural Architecture for Photon Identification
Event identification in photon counting ICCD detectors requires a high level image analysis which cannot be easily described algorithmically: neural networks are promising to appr...
Monica Alderighi, E. L. Gummati, Vincenzo Piuri, G...