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» Advanced Inference in Fuzzy Systems by Rule Base Compression
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TFS
2008
157views more  TFS 2008»
13 years 7 months ago
Efficient Self-Evolving Evolutionary Learning for Neurofuzzy Inference Systems
Abstract--This study proposes an efficient self-evolving evolutionary learning algorithm (SEELA) for neurofuzzy inference systems (NFISs). The major feature of the proposed SEELA i...
Cheng-Jian Lin, Cheng-Hung Chen, Chin-Teng Lin
CIDM
2007
IEEE
14 years 12 days ago
Designing a Fuzzy Rule Based System to Estimate Depth of Anesthesia
Estimating the depth of anesthesia (DOA) is still a challenging area in anesthesia research. The objective of this study was to design a fuzzy rule based system which integrates el...
V. Esmaeili, Amin Assareh, M. B. Shamsollahi, Moha...
ICDAR
2005
IEEE
14 years 2 months ago
On-line Writer Adaptation for Handwriting Recognition using Fuzzy Inference Systems
We present an automatic on-line adaptation mechanism to the writer’s handwriting style for the recognition of isolated handwritten characters. The classifier is based on a Fuzz...
Harold Mouchère, Éric Anquetil, Nico...
RECSYS
2009
ACM
14 years 1 months ago
A semantic framework for personalized ad recommendation based on advanced textual analysis
In this paper we present a hybrid recommendation system that combines ontological knowledge with content-extracted linguistic information, derived from pre-trained lexical graphs,...
Dorothea Tsatsou, Fotis Menemenis, Ioannis Kompats...
EGICE
2006
14 years 2 days ago
Evolutionary Generation of Implicative Fuzzy Rules for Design Knowledge Representation
Abstract. In knowledge representation by fuzzy rule based systems two reasoning mechanisms can be distinguished: conjunction-based and implication-based inference. Both approaches ...
Mark Freischlad, Martina Schnellenbach-Held, Torbe...