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» Designing Neural Networks Using Gene Expression Programming
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IWANN
1995
Springer
13 years 11 months ago
EL-SIM: a Development Environment for Neuro-Fuzzy Intelligent Controllers
1 This paper presents a new technique for the design of real-time controllers based on a hybrid approach which integrates several control strategies, such as intelligent controlle...
Marcello Chiaberge, G. Di Bene, S. Di Pascoli, R. ...
SBACPAD
2008
IEEE
170views Hardware» more  SBACPAD 2008»
14 years 2 months ago
Using Analytical Models to Efficiently Explore Hardware Transactional Memory and Multi-Core Co-Design
Transactional memory is emerging as a parallel programming paradigm for multi-core processors. Despite the recent interest in transactional memory, there has been no study to char...
James Poe, Chang-Burm Cho, Tao Li
FPL
2009
Springer
161views Hardware» more  FPL 2009»
14 years 12 days ago
A multi-FPGA architecture for stochastic Restricted Boltzmann Machines
Although there are many neural network FPGA architectures, there is no framework for designing large, high-performance neural networks suitable for the real world. In this paper, ...
Daniel L. Ly, Paul Chow
BMCBI
2006
115views more  BMCBI 2006»
13 years 7 months ago
SimArray: a user-friendly and user-configurable microarray design tool
Background: Microarrays were first developed to assess gene expression but are now also used to map protein-binding sites and to assess allelic variation between individuals. Rega...
Richard P. Auburn, Roslin R. Russell, Bettina Fisc...
KRDB
2003
111views Database» more  KRDB 2003»
13 years 9 months ago
A Framework for Answering Queries using Multiple Representation and Inference Techniques
The Polylog framework is designed to provide a language for efficiently automating complex queries of information represented in multiple formats. A Polylog program contains a set...
Nicholas L. Cassimatis