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Published in 2019 at "Artificial Intelligence Review"
DOI: 10.1007/s10462-019-09719-2
Abstract: Deep learning (DL) has become an important machine learning approach that has been widely successful in many applications. Currently, DL is one of the best methods of extracting knowledge from large sets of raw data…
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Keywords:
survey swarm;
deep learning;
swarm evolutionary;
evolutionary computing ... See more keywords
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Published in 2021 at "New Journal of Physics"
DOI: 10.1088/1367-2630/ac3883
Abstract: All known algorithms to solve nondeterministic polynomial (NP) complete problems, relevant to many real-life applications, require the exploration of a space of potential solutions, which grows exponentially with the size of the problem. Since electronic…
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Keywords:
dna;
network biocomputing;
problem;
computing approaches ... See more keywords
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Published in 2020 at "Transactions of the Institute of Measurement and Control"
DOI: 10.1177/0142331220916056
Abstract: This paper proposes an efficient methodology for predicting surface roughness using different soft computing approaches. The soft computing approaches are artificial neural network, adaptive neuro-fuzzy inference system and genetic algorithm. The proposed surface roughness prediction…
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Keywords:
surface roughness;
surface;
measurement;
soft computing ... See more keywords
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Published in 2019 at "Axioms"
DOI: 10.3390/axioms8040116
Abstract: Financial time-series are well known for their non-linearity and non-stationarity nature. The application of conventional econometric models in prediction can incur significant errors. The fast advancement of soft computing techniques provides an alternative approach for…
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Keywords:
concerning soft;
stock;
soft computing;
study concerning ... See more keywords