Diagnosis of hypoglycemic episodes using a neural network based rule discovery system
Hypoglycemia or low blood glucose is dangerous and can result in unconsciousness,
seizures and even death for Type 1 diabetes mellitus (T1DM) patients. Based on the T1DM …
seizures and even death for Type 1 diabetes mellitus (T1DM) patients. Based on the T1DM …
Financial volatility trading using a self-organising neural-fuzzy semantic network and option straddle-based approach
WL Tung, C Quek - Expert Systems with Applications, 2011 - Elsevier
Financial volatility refers to the intensity of the fluctuations in the expected return on an
investment or the pricing of a financial asset due to market uncertainties. Hence, volatility …
investment or the pricing of a financial asset due to market uncertainties. Hence, volatility …
eFSM—A novel online neural-fuzzy semantic memory model
WL Tung, C Quek - IEEE Transactions on Neural Networks, 2009 - ieeexplore.ieee.org
Fuzzy rule-based systems (FRBSs) have been successfully applied to many areas.
However, traditional fuzzy systems are often manually crafted, and their rule bases that …
However, traditional fuzzy systems are often manually crafted, and their rule bases that …
A novel self-organizing fuzzy rule-based system for modelling traffic flow behaviour
The study and development of transportation systems have been a focus of attention in
recent years, with many research efforts directed in particular at modelling traffic behaviour …
recent years, with many research efforts directed in particular at modelling traffic behaviour …
Natural occurrence of nocturnal hypoglycemia detection using hybrid particle swarm optimized fuzzy reasoning model
INTRODUCTION: Low blood glucose (hypoglycemia) is a common and serious side effect of
insulin therapy in patients with diabetes. This paper will make a contribution to knowledge in …
insulin therapy in patients with diabetes. This paper will make a contribution to knowledge in …
A novel brain-inspired neural cognitive approach to SARS thermal image analysis
Thermal imaging is used extensively in the detection of infrared spectrum. This principle has
found great and effective use in the screening of potential SARS patients. This paper …
found great and effective use in the screening of potential SARS patients. This paper …
RFCMAC: A novel reduced localized neuro-fuzzy system approach to knowledge extraction
Neuro-fuzzy system (NFS) and especially localized NFS are powerful rule-based methods
for knowledge extraction, capable of inducing salient knowledge structures from data …
for knowledge extraction, capable of inducing salient knowledge structures from data …
Sohyfis-yager: A self-organizing Yager based hybrid neural fuzzy inference system
The Hybrid neural Fuzzy Inference System (HyFIS) is a multilayer adaptive neural fuzzy
system for building and optimizing fuzzy models using neural networks. In this paper, the …
system for building and optimizing fuzzy models using neural networks. In this paper, the …
Towards a novel integrated neuro-cognitive architecture (INCA)
Artificial intelligence research is now flourishing which aims at achieving general, human-
level intelligence. Accordingly, cognitive architectures are increasingly employed as …
level intelligence. Accordingly, cognitive architectures are increasingly employed as …
T2-hyfis-yager: Type 2 hybrid neural fuzzy inference system realizing yager inference
The hybrid neural fuzzy inference system (Hy-FIS) is a five layers adaptive neural fuzzy
inference system, based on the compositional rule of inference (CRI) scheme, for building …
inference system, based on the compositional rule of inference (CRI) scheme, for building …