Rough-Neuro Computing: An Introduction
نویسندگان
چکیده
1 Machine Intelligence Unit, Indian Statistical Institute, 203 B.T. Road, Kolkata 700108, India [email protected] 2 Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, Manitoba R3T 5V6, Canada [email protected] 3 Polish-Japanese Institute of Information Technology Research Center, Koszykowa 86, 02-008 Warsaw, Poland and Department of Mathematics and Computer Science, University of Warmia and Mazury, Żołnierska 14a, 10-561 Olsztyn, Poland [email protected] 4 Institute of Mathematics, Warsaw University, Banacha 2, 02-097 Warsaw, Poland [email protected]
منابع مشابه
Rough-Neuro Computing
We outline a rough–neuro computing model as a basis for granular computing. Our approach is based on rough sets, rough mereology and information granule calculus.
متن کاملRANFIS: Rough Adaptive Neuro-Fuzzy Inference System
The paper presents a new hybridization methodology involving Neural, Fuzzy and Rough Computing. A Rough Sets based approximation technique has been proposed based on a certain Neuro – Fuzzy architecture. A New Rough Neuron composition consisting of a combination of a Lower Bound neuron and a Boundary neuron has also been described. The conventional convergence of error in back propagation has b...
متن کاملRGAP: A Rough Set, Genetic Algorithm and Particle Swarm Optimization based Feature Selection Approach
Feature selection plays an important role in improving the classification accuracy by handling redundant or irrelevant features present in the dataset. Various soft computing based hybrid approaches like neuro-fuzzy, genetic-fuzzy, rough set-neuro etc. are proposed by researchers to perform feature selection. The existing approaches gives higher complexity and computational cost with low classi...
متن کاملNeuro-fuzzy rule generation: survey in soft computing framework
The present article is a novel attempt in providing an exhaustive survey of neuro-fuzzy rule generation algorithms. Rule generation from artificial neural networks is gaining in popularity in recent times due to its capability of providing some insight to the user about the symbolic knowledge embedded within the network. Fuzzy sets are an aid in providing this information in a more human compre...
متن کاملWave height prediction using the rough set theory
Integrated interdisciplinary modeling techniques, providing reliable and accurate estimates for wave characteristics, have gained attention in recent years. With the ability to express knowledge in a rulebased form, the Rough Set Theory (RST) has been successfully employed in many fields. However the application of RST has not been investigated in wave height (WH) prediction. In this paper, the...
متن کامل