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TNN
2010
139views Management» more  TNN 2010»
13 years 2 months ago
Identification of finite state automata with a class of recurrent neural networks
A class of recurrent neural networks is proposed and proven to be capable of identifying any discrete-time dynamical system. The application of the proposed network is addressed in...
Sung Hwan Won, Iickho Song, Sun-Young Lee, Cheol H...
AUSAI
2004
Springer
14 years 24 days ago
Genetic Algorithm Based K-Means Fast Learning Artificial Neural Network
The K-means Fast Learning Artificial Neural Network (KFLANN) is a small neural network bearing two types of parameters, the tolerance, δ and the vigilance, µ. In previous papers,...
Yin Xiang, Alex Leng Phuan Tay
OGAI
1993
13 years 11 months ago
Combining Neural Networks and Fuzzy Controllers
Fuzzy controllers are designed to work with knowledge in the form of linguistic control rules. But the translation of these linguistic rules into the framework of fuzzy set theory ...
Detlef Nauck, Frank Klawonn, Rudolf Kruse
ECAI
1998
Springer
13 years 11 months ago
The Neural Path to Dialogue Acts
This paper presents a neural network approach to the problem of nding the dialogue act for a given utterance. So far only symbolic, decision tree and statistical approaches were ut...
M. Kipp
PRICAI
2004
Springer
14 years 22 days ago
An Augmentation Hybrid System for Document Classification and Rating
This paper introduces an augmentation hybrid system, referred to as Rated MCRDR. It uses Multiple Classification Ripple Down Rules (MCRDR), a simple and effective knowledge acquisi...
Richard Dazeley, Byeong Ho Kang