Sciweavers

EUSFLAT
2009
312views Fuzzy Logic» more  EUSFLAT 2009»
13 years 4 months ago
Forecasting Exchange Rates: A Neuro-Fuzzy Approach
This paper presents an adaptive neuro-fuzzy inference system (ANFIS) for USD/JPY exchange rates forecasting. Previous work often used time series techniques and neural networks (NN...
Meysam Alizadeh, Roy Rada, Akram Khaleghei Ghoshe ...
FSS
2002
94views more  FSS 2002»
13 years 6 months ago
Hierarchical neuro-fuzzy quadtree models
Hybrid neuro-fuzzy systems have been in evidence during the past few years, due to its attractive combination of the learning capacity of arti
Flávio Joaquim de Souza, Marley B. R. Vella...
CII
2006
95views more  CII 2006»
13 years 6 months ago
A neuro-fuzzy monitoring system: Application to flexible production systems
The multiple reconfiguration and the complexity of the modern production system lead to design intelligent monitoring aid systems. Accordingly, the use of neurofuzzy technics seem...
N. Palluat, Daniel I. Racoceanu, Noureddine Zerhou...
HIS
2004
13 years 7 months ago
Reinforcement Learning Hierarchical Neuro-Fuzzy Politree Model for Control of Autonomous Agents
: This work presents a new hybrid neuro-fuzzy model for automatic learning of actions taken by agents. The main objective of this new model is to provide an agent with intelligence...
Karla Figueiredo, Marley B. R. Vellasco, Marco Aur...
ACSW
2004
13 years 7 months ago
A wavelet-based neuro-fuzzy system for data mining small image sets
Creating a robust image classification system depends on having enough data with which one can adequately train and validate the model. If there is not enough available data, this...
Brendon J. Woodford, Da Deng, George L. Benwell
FSKD
2006
Springer
199views Fuzzy Logic» more  FSKD 2006»
13 years 10 months ago
Location-Aware Data Mining for Mobile Users Based on Neuro-fuzzy System
Data mining tools generally deal with highly structured and precise data. However, classical methods fail to handle imprecise or uncertain information. This paper proposes a neuro-...
Romeo Mark A. Mateo, Malrey Lee, Su-Chong Joo, Jae...
GECCO
2010
Springer
210views Optimization» more  GECCO 2010»
13 years 11 months ago
Biogeography-based optimization of neuro-fuzzy system parameters for diagnosis of cardiac disease
Cardiomyopathy refers to diseases of the heart muscle that becomes enlarged, thick, or rigid. These changes affect the electrical stability of the myocardial cells, which in turn ...
Mirela Ovreiu, Dan Simon
ICTAI
2005
IEEE
14 years 1 days ago
Hybrid Learning Neuro-Fuzzy Approach for Complex Modeling Using Asymmetric Fuzzy Sets
A hybrid learning neuro-fuzzy system with asymmetric fuzzy sets (HLNFS-A) is proposed in this paper. The learning methods of random optimization (RO) and least square estimation (...
Chunshien Li, Kuo-Hsiang Cheng, Jiann-Der Lee