A coupled artificial neural network and RSM model for the prediction of chip serration frequency in end milling of Inconel 718 by Patwari, Muhammed Anayet Ullah, Amin, A. K. M. Nurul, Ishtiyaq, M. H.

“…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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MLP and Elman recurrent neural network modelling for the TRMS by Toha, Siti Fauziah, Tokhi, M. Osman

“…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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Manual versus powered toothbrushes for oral health; an update by Yaacob, Munirah, Scott A, Deacon, Chris, Deery, Anne-Marie , Gleeny, Michael, Heanue, A Damien , Walmsley, Helen, Worthington, Peter G, Robinson

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Optimising retention success: a research team’s experience of following-up participants recruited to a pilot trial through community pharmacies in England by Watson, Michelle, Van Dongen, Anne, Hewitt, Catherine, Mandefield, Laura, Stewart, Duncan, Watson, Judith, McCambridge, Jim

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Process study within a pilot cluster randomised trial in community pharmacy: an exploration of pharmacist readiness for research by Stewart, Duncan, Madden, Mary, Van Dongen, Anne, Watson, Michelle, Morris, Stephanie, Whittlesea, Cate, McCambridge, Jim

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Measurement of person-centred consultation skills among healthcare practitioners: a systematic review of reviews of validation studies by Van Dongen, Anne, Stewart, Duncan, Garry, Jack, McCambridge, Jim

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Addressing complex pharmacy consultations: methods used to develop a person-centred intervention to highlight alcohol within pharmacist reviews of medications by McCambridge, Jim, Atkin, Karl, Dhital, Ranjita, Foster, Brent, Gough, Brendan, Madden, Mary, Morris, Stephanie, O'Carroll, Ronan, Ogden, Margaret, Van Dongen, Anne, White, Sue, Whittlesea, Cate, Stewart, Duncan

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Evaluation of polyculture of Indian major carps in periphyton-based ponds by Azim, M. Ekram, Verdegem, Marc C.J., Rahman, Mohammad Mustafizur, Wahab, Md Abdul, Van Dam, Anne A., Beveridge, Malcolm C. M

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The ACT-ONE trial, a multicentre, randomised, double-blind, placebo-controlled, dose-finding study of the anabolic/catabolic transforming agent, MT-102 in subjects with cachexia re... by Stewart Coats, Andrew J., Srinivasan, Venkatesan, Surendran, Jayaraman, Chiramana, Haritha, Vangipuram, Shankar R. K. G., Bhatt, Nirajkumar N., Jain, Minish, Shah, Sandip, Ali, Irfhan A. B. H., Fuang, Ho G., Mat Hassan, Mohd. Zailani, Beadle, John, Tilson, Julia, Kirwan, Bridget-Anne, Anker, Stefan D.

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A pilot cluster randomised trial of the Medicines and Alcohol Consultation (MAC): an intervention to discuss alcohol use in community pharmacy medicine review services by Stewart, Duncan, Van Dongen, Anne, Watson, Michelle, Mandefield, Laura, Atkin, Karl, Dhital, Ranjita, Foster, Brent, Gough, Brendan, Hewitt, Catherine, Madden, Mary, Morris, Stephanie, O'Carroll, Ronan, Ogden, Margaret, Parrott, Steve, Watson, Judith, White, Sue, Whittlesea, Cate, McCambridge, Jim

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A novel RSSI prediction using imperialist competition algorithm (ICA), radial basis function (RBF) and firefly algorithm (FFA) in wireless networks by Goudarzi, Shidrokh, Hassan, Wan Haslina, Hassan Abdalla Hashim, Aisha, Soleymani, Seyed Ahmad, Anisi, Mohammad Hossein, Zakaria, Omar M.

“…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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Rainfall forecasting models using focused time-delay neural networks by Htike, Kyaw Kyaw, Khalifa, Othman Omran

“…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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Improvement of fuzzy neural network using mine blast algorithm for classification of Malaysian Small Medium Enterprises based on strength by Hussain Talpur, Kashif

“…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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What’s information got to go with it? (editorial) by Bossaller, Jenny

“…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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An improved data classification framework based on fractional particle swarm optimization by Sherwani, Fahad

“…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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