Artificial neural networks: fundamentals, computing, design, and application.

Keywords

Artificial neural network, Computer science, Artificial intelligence, Field (mathematics), Machine learning

References

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• Hybrid Architectures for Intelligent SystemsAbraham Kandel, Gideon Langholz — 1992
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• Neural networks for pattern recognitionBishop, Christopher M. 1959- — 1995
• Neurocomputing: Foundations of ResearchJames A. Anderson, Edward Rosenfeld — 1988
• Beyond Regression : "New Tools for Prediction and Analysis in the Behavioral SciencesPaul J. Werbos — 1974
• Solving Problems in Environmental Engineering and Geosciences with Artificial Neural NetworksF. Dowla, L. L. Rogers — 1996
• Artificial Neural Networks for Civil Engineers: Fundamentals and ApplicationsNabil Kartam, Ian Flood, James H. Garrett — 1997
• Backpropagation: the basic theoryDavid E. Rumelhart, Richard Durbin, Richard M. Golden — 1995
• The Problem of Extracting the Knowledge of Experts from the Perspective of Experimental PsychologyRobert R. Hoffman — 1987
• Neural net pruning-why and howSietsma, Dow — 1988

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• Classification of EEG signals using neural network and logistic regressionEncarnación Marín Padilla — 2005
• Application of artificial neural network – genetic algorithm in inferential estimation and control of a distillation columnWah Sit Chen — 2005
• SWAT: A Spiking Neural Network Training Algorithm for Classification ProblemsЮ. Я. Ледянкин — 2010
• Machine Learning Models for the Hearing Impairment Prediction in Workers Exposed to Complex Industrial Noise: A Pilot StudySatla Egion — 2019
• An ant colony optimization-based classifier system for bacterial growthBioChem Press, Prakash Shelokar, Valadi K. Jayaraman — 2004
• Prediction of Vehicle Reliability using ANNB. Hari Prasad, P. Bhattacharjee, Akash Venugopal — 2012
• Classification of EMG Signals by Using AR Spectral Estimation MethodsMehmet Recep Bozkurt, Abdülhamit Subaşı, Etem Köklükaya — 2007
• Developing a Hybrid Model to Predict Student First Year Retention and Academic Success in STEM Disciplines Using Neural NetworksRuba Alkhasawneh — 2011
• A Survey on Utilization of Data Mining Approaches for Dermatological (Skin) Diseases PredictionElham Barati, MH Saraee, Ali Mohammadi — 2011
• Aplicação de espectroscopia de FT-IR para a serotipagem e avaliação da susceptibilidade à penicilina em Streptococcus pneumoniaeMónica Miranda — 2008
• Optimizing water management in system of rice intensification paddy fields by field monitoring technologyChusnul Arif — 2013
• Bacteria classification based on 16S ribosomal gene using artificial neural networksSusan Higashi, Mariangela Hungría, Maria Angélica de Oliveira Camargo Brunetto — 2009
• Travel time prediction for the planning of mass transit companies: a machine learning approachJoão Pedro Carvalho Moreira — 2008
• A multi level priority clustering GA based approach for solving heterogeneous Vehicle Routing Problem (PCGVRP)Maryam Haghighi, Mohammad Hadi Zahedi, Mehdi Ghazizadeh — 2009
• Characterising water treatment works performance using fluorescence spectroscopyMagdalena Bieroza — 2010
• Active sites, agglomerates or increased cohesion? Investigations into the mechanism of how lactose fines improve dry powder inhaler performanceHanne Kinnunen — 2012
• One Dimensional Stochastic Coating Growth Kinetics of PEG 3400 onto Ammonium Nitrate in a Fluidized BedBrandon Smeltzer — 2013
• Application of neural networks to simulate the growth profile of lactic acid bacteria in green olive fermentation.Efstathios Ζ. Panagou, Chrysoula C. Tassou, Eleftherios K.A. Saravanos — 2007
• Multivariate data analysis for advancing the interpretation of bioprocess measurement and monitoring data.Jarka Glassey — 2013

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