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TNN
2008
143views more  TNN 2008»
15 years 4 months ago
Blur Identification by Multilayer Neural Network Based on Multivalued Neurons
A multilayer neural network based on multivalued neurons (MLMVN) is a neural network with a traditional feedforward architecture. At the same time, this network has a number of spe...
Igor N. Aizenberg, Dmitriy Paliy, Jacek M. Zurada,...
ADHOC
2008
96views more  ADHOC 2008»
15 years 4 months ago
Network configuration for optimal utilization efficiency of wireless sensor networks
This paper addresses the problem of configuring wireless sensor networks (WSNs). Specifically, we seek answers to the following questions: how many sensors should be deployed, wha...
Yunxia Chen, Chen-Nee Chuah, Qing Zhao
VLSID
2002
IEEE
149views VLSI» more  VLSID 2002»
16 years 4 months ago
Development of ASIC Chip-Set for High-End Network Processing Application-A Case Study
Choosing the right methodology is a significant step towards successful VLSI designs. Traditional methodologies and tools are no longer adequate to handle large and complex design...
Sanjeev Patel
ESANN
2007
15 years 5 months ago
Adaptive Global Metamodeling with Neural Networks
Due to the scale and computational complexity of current simulation codes, metamodels (or surrogate models) have become indispensable tools for exploring and understanding the desi...
Dirk Gorissen, Wouter Hendrickx, Tom Dhaene
AAAI
2006
15 years 5 months ago
Acquiring Constraint Networks Using a SAT-based Version Space Algorithm
Constraint programming is a commonly used technology for solving complex combinatorial problems. However, users of this technology need significant expertise in order to model the...
Christian Bessière, Remi Coletta, Fré...