Combining a gravitational search algorithm, particle swarm optimization, and fuzzy rules to improve the classification performance of a feed-forward neural network
Sign Up to like & getrecommendations! Published in 2019 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2019.105016
Abstract: BACKGROUND AND OBJECTIVE A feed-forward neural network (FNN) is a type of artificial neural network that has been widely used in medical diagnosis, data mining, stock market analysis, and other fields. Many studies have used… read more here.
Keywords: gsa; fuzzy rules; performance; neural network ... See more keywords
Evolving Mamdani Fuzzy Rules Using Swarm Algorithms for Accurate Data Classification
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2957735
Abstract: This paper proposes and develops a fuzzy evolutionary system based on the Grey Wolf Optimizer (GWO) algorithm to evolve Mamdani fuzzy rules that give a knowledge base for accurate classification of data set. GWO takes… read more here.
Keywords: mamdani fuzzy; fuzzy rules; swarm; data classification ... See more keywords
Self-Organizing Interval Type-2 Fuzzy Neural Network Using Information Aggregation Method.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2021.3136678
Abstract: Interval type-2 fuzzy neural networks (IT2FNNs) usually stack adequate fuzzy rules to identify nonlinear systems with high-dimensional inputs, which may result in an explosion of fuzzy rules. To cope with this problem, a self-organizing IT2FNN,… read more here.
Keywords: information; fuzzy rules; type fuzzy; fuzzy ... See more keywords
Mental Models Analysis and Comparison Based on Fuzzy Rules: A Case Study of the Protests of June and July 2013 in Brazil
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2016.2598767
Abstract: Collective decision processes involve a large number of decision makers, demanding the consensus of different points of view about problems of several knowledge areas. The analysis and comparison of these points of view can contribute… read more here.
Keywords: mental models; analysis comparison; analysis; june july ... See more keywords
A Novel First-Order Fuzzy Rules-Based Forecasting System Using Distance Measures Approach for Financial Market Forecasting
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Mathematics"
DOI: 10.1155/2023/8027664
Abstract: The precise estimates about finance, atmospheric science, power sector, industries, agriculture, and other science help governments and institutions economically in making the relevant policies regarding import-export, demand, consumption, storage, and local industries. Due to the… read more here.
Keywords: fuzzy rules; series; distance measures; forecasting ... See more keywords
New classification technique: fuzzy oblique decision tree
Sign Up to like & getrecommendations! Published in 2019 at "Transactions of the Institute of Measurement and Control"
DOI: 10.1177/0142331218774614
Abstract: Based on axiomatic fuzzy set (AFS) theory and fuzzy information entropy, a novel fuzzy oblique decision tree (FODT) algorithm is proposed in this paper. Traditional axis-parallel decision trees only consider a single feature at each… read more here.
Keywords: decision; oblique decision; fuzzy rules; decision tree ... See more keywords