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» Hybrid Neural Networks for Immunoinformatics
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ICDAR
1999
IEEE
13 years 11 months ago
Cursive Character Detection using Incremental Learning
This paper describes a new hybrid architecture for an artificial neural network classifier that enables incremental learning. The learning algorithm of the proposed architecture d...
Jean-François Hébert, Marc Parizeau,...
ESWA
2006
114views more  ESWA 2006»
13 years 7 months ago
Bankruptcy prediction with neural logic networks by means of grammar-guided genetic programming
The paper demonstrates the efficient use of hybrid intelligent systems for solving the classification problem of bankruptcy. The aim of the study is to obtain classification schem...
Athanasios Tsakonas, Georgios Dounias, Michael Dou...
DMIN
2006
133views Data Mining» more  DMIN 2006»
13 years 8 months ago
A Fuzzy Neural Based Data Classification System
Data mining has emerged to be a very important research area that helps organizations make good use of the tremendous amount of data they have. In data classification tasks, fuzzy ...
Luong Trung Tuan, Suet Peng Yong
SOFTCOMP
2010
13 years 5 months ago
Approaching Real-Time Intrusion Detection through MOVICAB-IDS
Abstract This paper presents an extension of MOVICAB-IDS, a Hybrid Intelligent Intrusion Detection System characterized by incorporating temporal control to enable real-time proces...
Martí Navarro, Álvaro Herrero, Emili...
TSMC
1998
91views more  TSMC 1998»
13 years 7 months ago
Toward the border between neural and Markovian paradigms
— A new tendency in the design of modern signal processing methods is the creation of hybrid algorithms. This paper gives an overview of different signal processing algorithms si...
Piotr Wilinski, Basel Solaiman, A. Hillion, W. Cza...