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» Hierarchy and information in feedforward networks
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JMLR
2006
389views more  JMLR 2006»
15 years 6 months ago
A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis
This paper introduces a learning method for two-layer feedforward neural networks based on sensitivity analysis, which uses a linear training algorithm for each of the two layers....
Enrique Castillo, Bertha Guijarro-Berdiñas,...
MSN
2007
Springer
162views Sensor Networks» more  MSN 2007»
16 years 6 days ago
Adaptive Topology Based Gossiping in VANETs Using Position Information
Abstract. Gossiping is a lightweight and simple technique for information dissemination in many application domains, be it in Wireless Sensor Networks (WSNs), Mobile Ad-hoc Network...
Boto Bako, Igor Rikanovic, Frank Kargl, Elmar Scho...
NCA
2006
IEEE
15 years 6 months ago
Evolutionary training of hardware realizable multilayer perceptrons
The use of multilayer perceptrons (MLP) with threshold functions (binary step function activations) greatly reduces the complexity of the hardware implementation of neural networks...
Vassilis P. Plagianakos, George D. Magoulas, Micha...
DL
1998
Springer
111views Digital Library» more  DL 1998»
15 years 10 months ago
SONIA: A Service for Organizing Networked Information Autonomously
The recent explosion of on-line information in Digital Libraries and on the World Wide Web has given rise to a number of query-based search engines and manually constructed topica...
Mehran Sahami, Salim Yusufali, Michelle Q. Wang Ba...
ICVGIP
2004
15 years 7 months ago
Cursive Word Recognition Using a Novel Feature Extraction Method and a Neural Network
In this paper, we present a holistic system for the recognition of cursive handwriting that utilizes a novel feature extraction method and a neural network. The Hough transform is...
José Ruiz-Pinales, René Jaime-Rivas