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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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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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Computational intelligence in control
Mohammadian, Masoud - 2003
Neural networks design, control and robotics application -- Hybrid evolutionary systems for modelling, control and robotics applications -- Fuzzy logic and bayesian systems -- Machine learning, evolutionary optimisation and information retrieval -- About the authors -- Index
Persistent link: https://www.econbiz.de/10011725910
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Neural networks in business forecasting
Zhang, G. Peter (contributor) - 2004
classifications of consumer risk in the credit industry / Satish Nargundkar, Jennifer Lewis Priestley …
Persistent link: https://www.econbiz.de/10011726470
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Risk analysis for prevention of hazardous situations in petroleum and natural gas engineering
Matanovic, Davorin (ed.); Gaurina-Medjimurec, Nediljka (ed.) - 2014
"This book explains the potential hazards of petroleum engineering activities, emphasizing risk assessments in drilling …General approach to risk analysis / Davorin Matanovic -- Risk due to wellbore instability / Nediljka Gaurina …-Medjimurec, Borivoje Pasic -- Risk due to pipe sticking / Nediljka Gaurina-Medjimurec, Borivoje Pasic -- Lost circulation / Nediljka …
Persistent link: https://www.econbiz.de/10011727897
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Optimization techniques for problem solving in uncertainty
Tilahun, Surafel Luleseged (ed.);  … - 2018
uncertainty. Different models ranging from stochastic to grey and their connection will be outlines with highlighting possible …
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
uncertainty in handling solutions, analysis, and applications"--Provided by publisher. …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 …
Persistent link: https://www.econbiz.de/10011727925
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Intelligent soft computation and evolving data mining : integrating advanced technologies
Wang, Leon Shyue-Liang (contributor);  … - 2010
, Zheng Tang, Hiroki Tamura -- 7. Risk-management models based on the portfolio theory using historical data under uncertainty …
Persistent link: https://www.econbiz.de/10011726787
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Breakthroughs in software science and computational intelligence
Wang, Yingxu (contributor) - 2012
"As both intelligence and software science revolutionizes the modern world, the contributions that each make to the other combine into a new transdisciplinary field. Breakthroughs in Software Science and Computational Intelligence charts the new ground broken by researchers exploring these two...
Persistent link: https://www.econbiz.de/10011727334
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Artificial higher order neural networks for modeling and simulation
Zhang, Ming (contributor) - 2013
"This book introduces Higher Order Neural Networks (HONNs) to computer scientists and computer engineers as an open box neural networks tool when compared to traditional artificial neural networks"--Provided by publisher.
Persistent link: https://www.econbiz.de/10011727562