Neural network implementation of fuzzy logic
Fuzzy Sets and Systems
Neural fuzzy systems: a neuro-fuzzy synergism to intelligent systems
Neural fuzzy systems: a neuro-fuzzy synergism to intelligent systems
POPFNN: a pseudo outer-product based fuzzy neural network
Neural Networks
BackPOLE: Back Propagation Based on Objective Learning Errors
PRICAI '02 Proceedings of the 7th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
PRICAI '02 Proceedings of the 7th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
Artificial Intelligence in Medicine
Application of Fuzzy Logic to Approximate Reasoning Using Linguistic Synthesis
IEEE Transactions on Computers
Expert Systems with Applications: An International Journal
POP-TRAFFIC: a novel fuzzy neural approach to road traffic analysis and prediction
IEEE Transactions on Intelligent Transportation Systems
Evolving fuzzy neural networks for supervised/unsupervised onlineknowledge-based learning
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Nonsingleton fuzzy logic systems: theory and application
IEEE Transactions on Fuzzy Systems
An ART-based fuzzy adaptive learning control network
IEEE Transactions on Fuzzy Systems
GenSoFNN: a generic self-organizing fuzzy neural network
IEEE Transactions on Neural Networks
Stock Trading Using RSPOP: A Novel Rough Set-Based Neuro-Fuzzy Approach
IEEE Transactions on Neural Networks
MCES: A Novel Monte Carlo Evaluative Selection Approach for Objective Feature Selections
IEEE Transactions on Neural Networks
Expert Systems with Applications: An International Journal
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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 investigates the application of several novel brain-inspired softcomputing techniques in the study of the correlation of superficial thermal images against the true internal body temperature. Given some backgrounds that the existing infrared systems used at various boarder checkpoints have high false-negative rate, the novel fuzzy neural networks (FNNs) employed in the back-end of the system have a role as a thermal analysis tool with high degree of accuracy. To achieve the automation and improve the accuracy in the feature extraction process of the infrared images, some forms of image processing technique based on the novel FNNs are also proposed in this paper. Extensive experimentations are undertaken to examine such intelligent medical decision support tool. Benchmarking was carried out on the novel FNN architectures which include pseudo outer-product fuzzy neural network (POPFNN), evolving fuzzy neural network (EFuNN), fuzzy adaptive learning control network (Falcon), generic self-organizing fuzzy neural network (GenSoFNN), and fuzzy cerebellar model articulation controller (FCMAC), and their results are promising. The performance of the GenSoFNN network is the most appealing among others. In addition, the experiments are conducted on real-life data taken from the Emergency Department (A&E), Tan Tock Seng Hospital (the designated SARS center in Singapore) to confirm the validity of such design in the real time.