Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Kaberi Das"'
Publikováno v:
Expert Systems. 40
Publikováno v:
Evolutionary Intelligence. 14:851-862
The prices of agro-commodities are highly volatile. Hence it is a challenge to the farmers to ensure fair and remunerative prices of these commodities. As a result, there is a need for prediction of agro market price appropriately. The closing price
Development and performance evaluation of hybrid KELM models for forecasting of agro-commodity price
Publikováno v:
Evolutionary Intelligence. 14:529-544
Incurring the benefits of kernel type-based extreme learning machine (KELM), this paper proposes a Grey wolf optimization based multiquadratic kernel KELM (GWO-KELM) models for effective forecasting of agro-commodity prices such as Chana and Barley.
Autor:
Ashwini Kumar Pradhan, Debahuti Mishra, Ganapati Panda, Sachin Kumar, Mikhail L. Zymbler, Kaberi Das
Publikováno v:
Mathematics, Vol 9, Iss 2095, p 2095 (2021)
Mathematics
Volume 9
Issue 17
Mathematics
Volume 9
Issue 17
Computer-aided diagnosis permits biopsy specimen analysis by creating quantitative images of brain diseases which enable the pathologists to examine the data properly. It has been observed from other image classification algorithms that the Extreme L
Publikováno v:
Smart Innovation, Systems and Technologies ISBN: 9789811562013
In past decades, it has been observed that learning speed of feed-forward neural network was too slower than its required speed, which was a major drawback for their applications. The reason behind this problem is that all the parameters of system ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5dcf2880ad789bc389ebf6206b2436a
https://doi.org/10.1007/978-981-15-6202-0_46
https://doi.org/10.1007/978-981-15-6202-0_46
Publikováno v:
Smart Innovation, Systems and Technologies ISBN: 9789811562013
Due to high dimensionality of gene expression datasets, gene selection is an important step for improving gene expression data classification accuracy. This is true for the case of cancer classification using gene expression data. Gene selection is t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb11781bfa3644d063c0b1445e757fc3
https://doi.org/10.1007/978-981-15-6202-0_34
https://doi.org/10.1007/978-981-15-6202-0_34
Publikováno v:
Informatics in Medicine Unlocked, Vol 4, Iss, Pp 10-20 (2016)
This paper presents a metaheuristic framework using Harmony Search (HS) with Genetic Algorithm (GA) for gene selection. The internal architecture of the proposed model broadly works in two phases, in the first phase, the model allows the hybridizatio
Publikováno v:
International Journal of Pharma and Bio Sciences. 8
Publikováno v:
Procedia Engineering. 38:1340-1345
Classification is a vital tool for understanding the relationships of living things using which similar things can be grouped together. Classification of elements into groups makes the study relatively easy. Therefore, classification is necessary to
Publikováno v:
Procedia Engineering. 38:1072-1076
Data sets contain very large amount of data which is not an easy task for the user to scan the entire data set. The researcher's initial task is to formulate a rational justification for the use of sampling in his research. Sampling has been often su