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» Network Structuring and Training Using Rule-Based Knowledge
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PAKDD
1998
ACM
158views Data Mining» more  PAKDD 1998»
14 years 22 days ago
Data Mining Using Dynamically Constructed Recurrent Fuzzy Neural Networks
Abstract. Approaches to data mining proposed so far are mainly symbolic decision trees and numerical feedforward neural networks methods. While decision trees give, in many cases, ...
Yakov Frayman, Lipo Wang
ITS
2004
Springer
99views Multimedia» more  ITS 2004»
14 years 1 months ago
Supporting Spatial Awareness in Training on a Telemanipulator in Space
Abstract. In this paper, we present an approach for supporting spatial awareness in an intelligent tutoring system, the purpose of which is to train astronauts to operating tasks o...
Jean Roy, Roger Nkambou, Froduald Kabanza
CLEIEJ
2010
13 years 6 months ago
Professional Training Program Management through Holonic Networks
Holonic networks constitute a type of organizational structures widely used at manufacturing enterprises. In an educational context, however, this type of structures remains practi...
Jonas Montilva C., Milagro Rivero, Judith Barrios ...
IJCAI
1989
13 years 9 months ago
Training Feedforward Neural Networks Using Genetic Algorithms
Multilayered feedforward neural networks possess a number of properties which make them particularly suited to complex pattern classification problems. However, their application ...
David J. Montana, Lawrence Davis
NIPS
1996
13 years 9 months ago
Continuous Sigmoidal Belief Networks Trained using Slice Sampling
Real-valued random hidden variables can be useful for modelling latent structure that explains correlations among observed variables. I propose a simple unit that adds zero-mean G...
Brendan J. Frey