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» Extraction of Logical Rules from Neural Networks
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ADL
1997
Springer
125views Digital Library» more  ADL 1997»
14 years 8 days ago
Error Tolerant Document Structure Analysis
Successful applications of digital libraries require structured access to sources of information. This paper presents an approach to extract the logical structure of text document...
Bertin Klein, Peter Fankhauser
JCIT
2008
124views more  JCIT 2008»
13 years 8 months ago
A Knowledge based Approach Using Fuzzy Inference Rules for Vowel Recognition
Automatic speech recognition by machine is one of the most efficient methods for man-machine communications. Because speech waveform is nonlinear and variant. Speech recognition r...
Hrudaya K. Tripathy, B. K. Tripathy, Pradip K. Das
ENGL
2007
148views more  ENGL 2007»
13 years 8 months ago
A General Reflex Fuzzy Min-Max Neural Network
—“A General Reflex Fuzzy Min-Max Neural Network” (GRFMN) is presented. GRFMN is capable to extract the underlying structure of the data by means of supervised, unsupervised a...
Abhijeet V. Nandedkar, Prabir Kumar Biswas
ISMIS
2003
Springer
14 years 1 months ago
Logic for Multi-path Message Forwarding Networks for Mobile Agents
We discuss how mobile agents, moving in the Internet from node to node, can communicate with each other by forwarding messages in a robust way. As a solution, we present the genera...
Masahito Kurihara, Masanobu Numazawa
TNN
2010
234views Management» more  TNN 2010»
13 years 2 months ago
Novel maximum-margin training algorithms for supervised neural networks
This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...
Oswaldo Ludwig, Urbano Nunes