A neuro-fuzzy system for ash property prediction
Second international workshop on Intelligent systems design and application
A neuro-fuzzy framework for predicting ash properties in combustion processes
Neural, Parallel & Scientific Computations - Special issue: Advances in intelligent systems and applications
Prediction of laser solid freeform fabrication using neuro-fuzzy method
Applied Soft Computing
A neuro-fuzzy based forecasting approach for rush order control applications
Expert Systems with Applications: An International Journal
A new software complexity metrics for computer communication network
SEA '07 Proceedings of the 11th IASTED International Conference on Software Engineering and Applications
Expert Systems with Applications: An International Journal
Knowledge discovery by a neuro-fuzzy modeling framework
Fuzzy Sets and Systems
Intelligent fabric hand prediction system with fuzzy neural network
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
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A new application of fuzzy systems to the processing of materials is presented. The relationships between temperature, time, and the impact strength of an austempered ductile iron (ADI) part are adaptively modeled. Four fuzzy and neuro fuzzy approaches have been used to build predictive models. These are: a fuzzy based model, a backpropagation based neuro fuzzy model, a clustering based model, and a clustering backpropagation based neuro fuzzy model. The clustering approach, using the subclustering method, yielded the best predictive results when all models had been given the same input-output training data. The backpropagation based neuro fuzzy approach suffers from the lack of a higher number of input-output data training sets. All preliminary results obtained suggest the adequacy of the fuzzy based and neuro fuzzy based modeling techniques to tackle those types of problems in the material processing areas