Hybrid computational intelligence algorithms and their applications to detect food quality
Sign Up to like & getrecommendations! Published in 2019 at "Artificial Intelligence Review"
DOI: 10.1007/s10462-019-09705-8
Abstract: Food security is a major problem faced today. With primitive storage facilities, especially in developing countries, it often leads to extensive losses. This work aims to develop algorithms based on vision data to assess the… read more here.
Keywords: algorithms; mfo gsa; gsa; food quality ... See more keywords
Groundwater contamination vulnerability assessment using DRASTIC method, GSA, and uncertainty analysis
Sign Up to like & getrecommendations! Published in 2020 at "Arabian Journal of Geosciences"
DOI: 10.1007/s12517-020-05650-x
Abstract: Groundwater is one of the most important water resources in arid and semi-arid regions, whose quality and quantity are variable. In this study, the vulnerability of Ardabil aquifer was investigated using a classic and modified… read more here.
Keywords: uncertainty; analysis; gsa; drastic model ... See more keywords
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
Hybrid Gravitational Search Algorithm Based on Fuzzy Logic
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DOI: 10.1109/access.2017.2768439
Abstract: Gravitational search algorithm (GSA) is a novel heuristic optimization algorithm which is used to search for the global optimal solution by iteration. However, GSA is easy to fall into local minima and convergence slowly. To… read more here.
Keywords: algorithm; search; gsa; tex math ... See more keywords
A Novel Hybrid Model Based on TVIW-PSO-GSA Algorithm and Support Vector Machine for Classification Problems
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2897644
Abstract: The increasingly serious haze problem in China has brought about a growing public awareness of air quality. Precise air quality index (AQI) forecasts play an important role in both controlling air pollution and promoting the… read more here.
Keywords: tviw pso; gsa svm; pso; gsa ... See more keywords
Quantitative Evaluations of Uncertainties in Multivariate Operations of Microgrids
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Smart Grid"
DOI: 10.1109/tsg.2020.2971689
Abstract: Microgrid (MG) provides a promising solution to managing various distributed energy resources and loads within defined electrical boundaries. However, variable renewable energy generation and loads as MG inputs would inject complex uncertainties into MG operations,… read more here.
Keywords: multivariate outputs; uncertainties multivariate; evaluations uncertainties; quantitative evaluations ... See more keywords
Classification of abnormal location in medium voltage switchgears using hybrid gravitational search algorithm-artificial intelligence
Sign Up to like & getrecommendations! Published in 2021 at "PLoS ONE"
DOI: 10.1371/journal.pone.0253967
Abstract: In power system networks, automatic fault diagnosis techniques of switchgears with high accuracy and less time consuming are important. In this work, classification of abnormal location in switchgears is proposed using hybrid gravitational search algorithm… read more here.
Keywords: classification; classification abnormal; gsa; using hybrid ... See more keywords