DOI:10.20894/IJCOA.
Periodicity: Bi Annual.
Impact Factor:
SJIF:5.079 & GIF:0.416
Submission:Any Time
Publisher: IIR Groups
Language: English
Review Process:
Double Blinded

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IJCOA special issue invites the papers from the NATIONAL CONFERENCE, INTERNATIONAL CONFERENCE, SEMINAR conducted by colleges, university, etc. The Group of paper will accept with some concession and will publish in IJCOA website. For complete procedure, contact us at admin@iirgroups.org

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Published in:   Vol. 7 Issue 1 Date of Publication:   June 2018
Page(s):   05-09 Publisher:   Integrated Intelligent Research (IIR)
DOI:   10.20894/IJCOA.101.007.001.002 SAI :

the aim of this paper is to discuss the concept of the evolutionary and machine learning strategies. The genetic Algorithm is a satisfactory procedure for training multi-layer Feed Forward Neural Networks. The MLFF neural network is a one way signal made of multi layers which has the best trade-off between speed and accuracy. It also deals with pattern classification problems. The RSM predicts the mass transfer parameters which are compared with capabilities of ANN model. To assist the network to perform efficiently the learning mechanisms DL and ELM have been implemented for knowledge accuracy. This paper summarizes Multi-layer feed forward (MFNN) using recent evolutionary Algorithms (GA), Response surface methodology (RSM) for predicting the actual capability of the network and to assist the dataset modulation learning mechanisms like Deep Learning (DL), Extreme Learning Machine(ELM) were used.