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Hybrid AI Models for the Characterization of Oil and Gas Reservoirs - Fatai Anifowose
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Fatai Anifowose:

Hybrid AI Models for the Characterization of Oil and Gas Reservoirs - Livres de poche

1974, ISBN: 9783639143126

ID: 755124736

Birkhauser. Paperback. New. Paperback. 191 pages. Dimensions: 9.2in. x 6.1in. x 0.4in.Ten years ago, Zadeh has brought into vogue the use of a name. Scientists no is an increasing less than poets strike off words that fit a situation. Today there recognition that for understanding vagueness, a fuzzy approach is required. We are just going through transient period. From discussions of general philosophy to practical methods for system analysis. Unfortunately, much of the existing research is scattered. The practitioner interested in these methods face the challenge of sorting through a vast amount of literature to find a core on which to build. One of the objects of this book was to facilitate communication by bringing toge ther different viewpoints and coloring them from a common viewpoint. Since the romanian version appeared, at the very beginning of 1974, there has been a rapid growth in the literature of fuzzy modelling. A minor revision would have left the book quite out-of-date. The opportunity has been taken to correct, clarify, and update. Inexactness is implicit in human behaviour and erare humanum est. It is a pleasure to acknowledge the help we have received in preparing this version. The opportunity to see an english edition was a powerful stimulus, and we are grateful to Salomon Klaczko for making this possible. Another debt is to all fuzzy authors we have quoted. Their fascinating papers kindled our interest in the subject. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN., Birkhauser, LAP Lambert Academic Publishing. Paperback. New. Paperback. 156 pages. Dimensions: 8.7in. x 5.9in. x 0.4in.Robotics is one of the most exciting Technology fields in modern science. Conventional wheels are the most widely used among wheeled mobile robots WMRs with wheeled locomotion. These wheels are simple to construct, require little maintenance, provide smooth motion, offer high load-carrying capacity and they are cheap. The main contribution of this Book is to present and discuss a new approach for development of a kinematic model and control strategy for a nonholonomic wheeled mobile robot. Vision is an important aspect of robotics and can sometimes be one of the only ways to make a robot fully capable of maneuvering in any situation. This Book presents a novel computer vision methodology for building a system capable of determining the presence of a path follower, tracking the objects on that path, and recognizing the objects shape. The Book addresses three important topics in mobile robotics. These are the path follower, the multi-sensors and the steering fuzzy controllers for wheeled mobile robot. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN., LAP Lambert Academic Publishing, VDM Verlag. Paperback. New. Paperback. 148 pages. Dimensions: 8.7in. x 5.9in. x 0.3in.Oil and Gas remain the most exploited source of energy in the world today and have been predicted that they will continue to be available for exploitation in many decades to come. Hence, there is the need to develop accurate and robust predictive models for their effective and efficient exploration, exploitation and management to ensure consistent availability. Various Artificial Intelligence techniques have been used but with dire needs for improvement. Recently, hybrid schemes have been reported to offer better performance and reliability. The capabilities of these schemes have not been well utilized in Oil and Gas. This book explains how these schemes have been utilized in the prediction of porosity and permeability, two important indicators of oil and gas reserves, based on the hybridization of Type-2 Fuzzy Logic, Support Vector Machines and Functional Networks, using real-world well logs. The results are very promising. This book will be of great benefit to researchers and practitioners in the application of AI techniques in oil and gas as well as in Data Mining and Machine Learning. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN., VDM Verlag

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Hybrid AI Models for the Characterization of Oil and Gas Reservoirs: Concept, Design and Implementation - Fatai Anifowose
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Fatai Anifowose:

Hybrid AI Models for the Characterization of Oil and Gas Reservoirs: Concept, Design and Implementation - Livres de poche

ISBN: 9783639143126

ID: INF1000866320

Concept, Design and Implementation Oil and Gas remain the most exploited source of energy in the world today and have been predicted that they will continue to be available for exploitation in many decades to come. Hence, there is the need to develop accurate and robust predictive models for their effective and efficient exploration, exploitation and management to ensure consistent availability. Various Artificial Intelligence techniques have been used but with dire needs for improvement. Recently, hybrid schemes have been reported to offer better performance and reliability. The capabilities of these schemes have not been well utilized in Oil and Gas. This book explains how these schemes have been utilized in the prediction of porosity and permeability, two important indicators of oil and gas reserves, based on the hybridization of Type-2 Fuzzy Logic, Support Vector Machines and Functional Networks, using real-world well logs. The results are very promising. This book will be of great benefit to researchers and practitioners in the application of AI techniques in oil and gas as well as in Data Mining and Machine Learning. Hybrid AI Models for the Characterization of Oil and Gas Reservoirs: Concept, Design and Implementation: Oil and Gas remain the most exploited source of energy in the world today and have been predicted that they will continue to be available for exploitation in many decades to come. Hence, there is the need to develop accurate and robust predictive models for their effective and efficient exploration, exploitation and management to ensure consistent availability. Various Artificial Intelligence techniques have been used but with dire needs for improvement. Recently, hybrid schemes have been reported to offer better performance and reliability. The capabilities of these schemes have not been well utilized in Oil and Gas. This book explains how these schemes have been utilized in the prediction of porosity and permeability, two important indicators of oil and gas reserves, based on the hybridization of Type-2 Fuzzy Logic, Support Vector Machines and Functional Networks, using real-world well logs. The results are very promising. This book will be of great benefit to researchers and practitioners in the application of AI techniques in oil and gas as well as in Data Mining and Machine Learning., VDM Verlag

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Hybrid Ai Models For The Characterization Of Oil And Gas Reservoirs - Fatai Anifowose
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Fatai Anifowose:
Hybrid Ai Models For The Characterization Of Oil And Gas Reservoirs - nouveau livre

ISBN: 9783639143126

Oil and Gas remain the most exploited source ofenergy in the world today and have been predictedthat they will continue to be available forexploitation in many decades to come. Hence, there isthe need to develop accurate and robust predictivemodels for their effective and efficient exploration,exploitation and management to ensure consistentavailability. Various Artificial Intelligencetechniques have been used but with dire needs forimprovement. Recently, hybrid schemes have beenreported to offer better performance and reliability.The capabilities of these schemes have not been wellutilized in Oil and Gas. This book explains how theseschemes have been utilized in the prediction ofporosity and permeability, two important indicatorsof oil and gas reserves, based on the hybridizationof Type-2 Fuzzy Logic, Support Vector Machines andFunctional Networks, using real-world well logs. Theresults are very promising. This book will be ofgreat benefit to researchers and practitioners in theapplication of AI techniques in oil and gas as wellas in Data Mining and Machine Learning. Books Books ~~ Technology~~ General Hybrid-Ai-Models-For-The-Characterization-Of-Oil-And-Gas-Reservoirs~~Fatai-Anifowose VDM Verlag

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Hybrid AI Models for the Characterization of Oil and Gas Reservoirs - Fatai Anifowose
Livre non disponible
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Fatai Anifowose:
Hybrid AI Models for the Characterization of Oil and Gas Reservoirs - nouveau livre

ISBN: 9783639143126

ID: aad1e2ead6bc5dd1bf5bd68010781ee5

Oil and Gas remain the most exploited source of energy in the world today and have been predicted that they will continue to be available for exploitation in many decades to come. Hence, there is the need to develop accurate and robust predictive models for their effective and efficient exploration, exploitation and management to ensure consistent availability. Various Artificial Intelligence techniques have been used but with dire needs for improvement. Recently, hybrid schemes have been reported to offer better performance and reliability. The capabilities of these schemes have not been well utilized in Oil and Gas. This book explains how these schemes have been utilized in the prediction of porosity and permeability, two important indicators of oil and gas reserves, based on the hybridization of Type-2 Fuzzy Logic, Support Vector Machines and Functional Networks, using real-world well logs. The results are very promising. This book will be of great benefit to researchers and practitioners in the application of AI techniques in oil and gas as well as in Data Mining and Machine Learning. Buch / Broschur, [PU: VDM Verlag Dr. Müller, Saarbrücken]

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Hybrid AI Models for the Characterization of Oil and Gas Reservoirs - Fatai Anifowose
Livre non disponible
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Fatai Anifowose:
Hybrid AI Models for the Characterization of Oil and Gas Reservoirs - nouveau livre

ISBN: 9783639143126

ID: 240a83e634489888c01717bca553a429

Oil and Gas remain the most exploited source of, [PU: VDM Verlag Dr. Müller, Saarbrücken]

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Détails sur le livre
Hybrid AI Models for the Characterization of Oil andGas Reservoirs
Auteur:

Anifowose, Fatai

Titre:

Hybrid AI Models for the Characterization of Oil andGas Reservoirs

ISBN:

3639143124

Informations détaillées sur le livre - Hybrid AI Models for the Characterization of Oil andGas Reservoirs


EAN (ISBN-13): 9783639143126
ISBN (ISBN-10): 3639143124
Version reliée
Livre de poche
Date de parution: 2009
Editeur: VDM Verlag
148 Pages
Poids: 0,237 kg
Langue: eng/Englisch

Livre dans la base de données depuis 11.02.2009 02:53:57
Livre trouvé récemment le 01.01.2017 08:14:54
ISBN/EAN: 3639143124

ISBN - Autres types d'écriture:
3-639-14312-4, 978-3-639-14312-6

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