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IPPS
1998
IEEE
15 years 10 months ago
Using the BSP Cost Model to Optimise Parallel Neural Network Training
We derive cost formulae for three di erent parallelisation techniques for training supervised networks. These formulae are parameterised by properties of the target computer archit...
R. O. Rogers, David B. Skillicorn
TNN
2008
86views more  TNN 2008»
15 years 6 months ago
Trend Time-Series Modeling and Forecasting With Neural Networks
Abstract--Despite its great importance, there has been no general consensus on how to model the trends in time
Min Qi, G. Peter Zhang
BVAI
2007
Springer
15 years 10 months ago
A Neural Network Model for a View Independent Extraction of Reach-to-Grasp Action Features
Abstract. The aim of this paper is to introduce a novel, biologically inspired approach to extract visual features relevant for controlling and understanding reachto-grasp actions....
Roberto Prevete, Matteo Santoro, Ezio Catanzariti,...
JIKM
2006
167views more  JIKM 2006»
15 years 6 months ago
Learning Trajectory Information with Neural Networks and the Markov Model to Develop Intelligent Location-Based Services
In the development of location-based services, various location-sensing techniques and experimental/commercial services have been used. However, conventional location-based service...
Sang-Jun Han, Sung-Bae Cho
CIMCA
2008
IEEE
16 years 15 days ago
Deploying Neural-Network-Based Models for Dynamic Pricing in Supply Chain Management
With the advent of e-Commerce, enterprises can no longer rely on static business strategies. They have to be able to cope in dynamic and uncertain electronic environments, especia...
Yevgeniya Kovalchuk, Maria Fasli