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Handbook of research on predictive modeling and optimization methods in science and engineering
Kim, Dookie (ed.); Roy, Sanjiban Sekhar (ed.);  … - 2018
"This book explores the latest development of optimization techniques. It shows the application of optimization in new fields such as big data, artificial intelligence, etc. The application of hybrid optimization techniques and stochastic optimization are explored"--
Persistent link: https://www.econbiz.de/10012393207
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Artificial neural networks in real-life applications
Rabunal, Juan Ramon (contributor);  … - 2006
"This book offers an outlook of the most recent works at the field of the Artificial Neural Networks (ANN), including theoretical developments and applications of systems using intelligent characteristics for adaptability"--Provided by publisher.
Persistent link: https://www.econbiz.de/10011725828
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Neural networks in business forecasting
Zhang, G. Peter (contributor) - 2004
Business forecasting with artificial neural networks / G. Peter Zhang -- Using artificial neural networks to forecast … industry: a neural network approach / Rob Law, Ray Pine -- Using an extended self-organizing map network to forecast market … classifications of consumer risk in the credit industry / Satish Nargundkar, Jennifer Lewis Priestley …
Persistent link: https://www.econbiz.de/10011726470
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Optimization techniques for problem solving in uncertainty
Tilahun, Surafel Luleseged (ed.);  … - 2018
"This book is devoted to recent developments, reviews and tutorials of decision making or optimization under uncertainty. Different models ranging from stochastic to grey and their connection will be outlines with highlighting possible future works along with applications on real case problems"--
Persistent link: https://www.econbiz.de/10012393215
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Mathematics of uncertainty modeling in the analysis of engineering and science problems
Chakraverty, Snehashish (ed.) - 2014
Interval mathematics as a potential weapon against uncertainty / Hend Dawood -- Uncertainty modeling using expert's knowledge as evidence / D. Datta -- Evidence-based uncertainty modeling / Tazid Ali -- Hybrid set structures for soft computing / Sunil Jacob John, Babitha KV -- Source and...
Persistent link: https://www.econbiz.de/10011727925
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Robotic vision : technologies for machine learning and vision applications
Cazorla Quevedo, Miguel A.. (contributor);  … - 2013
"This book offers comprehensive coverage of the current research on the fields of robotics, machine vision, image processing and pattern recognition that is important to applying machine vision methods in the real world"--Provided by publisher.
Persistent link: https://www.econbiz.de/10011727636
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Business intelligence in economic forecasting : technologies and techniques
Wang, Shouyang (contributor); Wang, Jue (contributor) - 2010
Neural Network Ensemble Learning Paradigm with Application to Delinquent Prediction for Credit Risk Management / Lean Yu …-Term Risk Management / Eric Fung, Wai-Ki Ching, Tak-Kuen Siu -- Increasing Translation Invariant Morphological Forecasting …
Persistent link: https://www.econbiz.de/10011726822
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Artificial neural networks in finance and manufacturing
Begg, Rezaul (contributor); Sarker, Ruhul A. (contributor);  … - 2006
Section I. Introduction -- Chapter I. Artificial Neural Networks: Applications in Finance and Manufacturing / Joarder Kamruzzaman, Ruhul A. Sarker, Rezaul K. Begg -- Chapter II. Simultaneous Evolution of Network Architectures and Connection Weights in Artificial Neural Networks / Ruhul A....
Persistent link: https://www.econbiz.de/10011725827
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Computational intelligence in control
Mohammadian, Masoud - 2003
This book includes theory and applications of intelligent systems techniques in modelling control and automation. …
Persistent link: https://www.econbiz.de/10011725910
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Emerging methods in predictive analytics : risk management and decision-making
Hsu, William H.. (ed.) - 2014
-parametric stakeholder discovery: a process for mitigating risk governance deficits through open-ended protocols / John Benjamin Cassel … -- Computing skills in forecasting for liquidity risk management in the Indian banking industry / Rituparna Das -- Continuous …
Persistent link: https://www.econbiz.de/10011727940