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TNN
2010
176views Management» more  TNN 2010»
14 years 4 months ago
On the weight convergence of Elman networks
Abstract--An Elman network (EN) can be viewed as a feedforward (FF) neural network with an additional set of inputs from the context layer (feedback from the hidden layer). Therefo...
Qing Song
AHSWN
2006
148views more  AHSWN 2006»
14 years 10 months ago
Geometric Chemotaxis: A Biologically-Inspired Framework for a Class of Wireless Coverage Problems
Abstract-- We present a new, biologically-inspired algorithm for the problem of covering a given region with wireless "units" (sensors or base-stations). The general prob...
Hidayet Ozgur Sanli, Rahul Simha, Bhagirath Naraha...
PPSN
1990
Springer
15 years 1 months ago
Feature Construction for Back-Propagation
T h e ease of learning concepts f r o m examples in empirical machine learning depends on the attributes used for describing the training d a t a . We show t h a t decision-tree b...
Selwyn Piramuthu
ICDCN
2010
Springer
15 years 4 months ago
Channel Assignment in Virtual Cut-through Switching Based Wireless Mesh Networks
Conventional wireless networks employ a contention based channel access mechanism, which not only imposes high latency but also reduces goodput of the network. Lack of interference...
Dola Saha, Aveek Dutta, Dirk Grunwald, Douglas C. ...
IJCNN
2006
IEEE
15 years 3 months ago
Extraction of Components with Structured Variance
Abstract— We present a method for exploratory data analysis of large spatiotemporal data sets such as global longtime climate measurements, extending our previous work on semibli...
Alexander Ilin, Harri Valpola, Erkki Oja