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401
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A coupled artificial neural network and RSM model for the prediction of chip serration frequency in end milling of Inconel 718
Published 2011“…Compared to traditional computing methods, the artificial neural networks (ANNs) are robust and global. ANNs have the characteristics of universal approximation, parallel distributed processing, hardware implementation, learning and adaptation, and multivariable systems [11]. …”
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Book Chapter -
405
MLP and Elman recurrent neural network modelling for the TRMS
Published 2008“…This paper presents a scrutinized investigation on system identification using artificial neural network (ANNs). The main goal for this work is to emphasis the potential benefits of this architecture for real system identification. …”
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Proceeding Paper -
406
Manual versus powered toothbrushes for oral health; an update
Published 2011Get full text
Proceeding Paper -
407
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408
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409
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410
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411
Evaluation of polyculture of Indian major carps in periphyton-based ponds
Published 2002Get full text
Article -
412
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413
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A novel RSSI prediction using imperialist competition algorithm (ICA), radial basis function (RBF) and firefly algorithm (FFA) in wireless networks
Published 2016“…The achieved results indicate that the IRBF–FFA model provides more precise predictions compared to different ANNs, namely, support vector machines (SVMs) and multilayer perceptron (MLP). …”
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Article -
415
Using social marketing strategy to promote recycling among university students in a Thai university
Published 2020“…This research was conducted at Chiang Mai University (C.M.U.) between January 2017 and January 2018 with undergrad students, C.M.U. staff and C.M.U. stakeholders, it examined the students’ lifestyles and the needs of the students’ concerning recycling promotion and how to explore further the effective promotion of recycling amongst students. …”
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Thesis -
416
Rainfall forecasting models using focused time-delay neural networks
Published 2010“…Artificial Neural Networks (ANNs) have recently become very popular and they are one of the most widely used forecasting models that have enjoyed fruitful applications for forecasting purposes in many domains of engineering and computer science. …”
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Proceeding Paper -
417
Improvement of fuzzy neural network using mine blast algorithm for classification of Malaysian Small Medium Enterprises based on strength
Published 2015“…Fuzzy Neural Networks (FNNs) with the integration of fuzzy logic, neural networks and optimization techniques have not only solved the issue of “black box” in Artificial Neural Networks (ANNs) but also have been effective in a wide variety of real-world applications. …”
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Thesis -
418
What’s information got to go with it? (editorial)
Published 2011“…We participated in a workshop led by John Vincent and Anne Harding, and visited several other libraries that had won CILIP‘s Libraries Change Lives Award. …”
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Article -
419
An improved data classification framework based on fractional particle swarm optimization
Published 2019“…Furthermore, the proposed MOFPSO algorithm is hybridized with Back-Propagation (BP), Elman Recurrent Neural Networks (RNN) and Levenberg-Marquardt (LM) Artificial Neural Networks (ANNs) to propose an enhanced data classification framework, especially for data classification applications. …”
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Thesis