2003, ISBN: 1402017294

[EAN: 9781402017292], Neubuch, [SC: 0.0], [PU: Springer Netherlands], ERDE (PLANET) / GEOLOGIE; GEOPHYSIK; INFORMATIK; INTELLIGENZ KÜNSTLICHE INTELLIGENZ; KI; - AI; MATHEMATIK LOGIK; ROBO… Meer...

[EAN: 9781402017292], Neubuch, [SC: 0.0], [PU: Springer Netherlands], ERDE (PLANET) / GEOLOGIE; GEOPHYSIK; INFORMATIK; INTELLIGENZ KÜNSTLICHE INTELLIGENZ; KI; - AI; MATHEMATIK LOGIK; ROBOTER ROBOTIK INDUSTRIEROBOTER; INFORMATION; MAP; RESERVOIR; ARTIFICIALINTELLIGENCE; CLASSIFICATION; FUZZYLOGIC; GEOPHYSICS; INTELLIGENCE, Druck auf Anfrage Neuware - Printed after ordering - The past fifteen years has witnessed an explosive growth in the fundamental research and applications of artificial neural networks (ANNs) and fuzzy logic (FL). The main impetus behind this growth has been the ability of such methods to offer solutions not amenable to conventional techniques, particularly in application domains involving pattern recognition, prediction and control. Although the origins of ANNs and FL may be traced back to the 1940s and 1960s, respectively, the most rapid progress has only been achieved in the last fifteen years. This has been due to significant theoretical advances in our understanding of ANNs and FL, complemented by major technological developments in high-speed computing. In geophysics, ANNs and FL have enjoyed significant success and are now employed routinely in the following areas (amongst others): 1. Exploration Seismology. (a) Seismic data processing (trace editing; first break picking; deconvolution and multiple suppression; wavelet estimation; velocity analysis; noise identification/reduction; statics analysis; dataset matching/prediction, attenuation), (b) AVO analysis, (c) Chimneys, (d) Compression I dimensionality reduction, (e) Shear-wave analysis, (f) Interpretation (event tracking; lithology prediction and well-log analysis; prospect appraisal; hydrocarbon prediction; inversion; reservoir characterisation; quality assessment; tomography). 2. Earthquake Seismology and Subterranean Nuclear Explosions. 3. Mineral Exploration. 4. Electromagnetic I Potential Field Exploration. (a) Electromagnetic methods, (b) Potential field methods, (c) Ground penetrating radar, (d) Remote sensing, (e) inversion. 352 pp. Englisch, Books<

2003, ISBN: 9781402017292

[ED: Hardcover], [PU: Springer / Springer Netherlands], The past fifteen years has witnessed an explosive growth in the fundamental research and applications of artificial neural networks… Meer...

[ED: Hardcover], [PU: Springer / Springer Netherlands], The past fifteen years has witnessed an explosive growth in the fundamental research and applications of artificial neural networks (ANNs) and fuzzy logic (FL). The main impetus behind this growth has been the ability of such methods to offer solutions not amenable to conventional techniques, particularly in application domains involving pattern recognition, prediction and control. Although the origins of ANNs and FL may be traced back to the 1940s and 1960s, respectively, the most rapid progress has only been achieved in the last fifteen years. This has been due to significant theoretical advances in our understanding of ANNs and FL, complemented by major technological developments in high-speed computing. In geophysics, ANNs and FL have enjoyed significant success and are now employed routinely in the following areas (amongst others): 1. Exploration Seismology. (a) Seismic data processing (trace editing; first break picking; deconvolution and multiple suppression; wavelet estimation; velocity analysis; noise identification/reduction; statics analysis; dataset matching/prediction, attenuation), (b) AVO analysis, (c) Chimneys, (d) Compression I dimensionality reduction, (e) Shear-wave analysis, (f) Interpretation (event tracking; lithology prediction and well-log analysis; prospect appraisal; hydrocarbon prediction; inversion; reservoir characterisation; quality assessment; tomography). 2. Earthquake Seismology and Subterranean Nuclear Explosions. 3. Mineral Exploration. 4. Electromagnetic I Potential Field Exploration. (a) Electromagnetic methods, (b) Potential field methods, (c) Ground penetrating radar, (d) Remote sensing, (e) inversion. 2003. 2003. xxiii, 325 S. XXIII, 325 p. 235 mm Versandfertig in 6-10 Tagen, DE, [SC: 0.00], Neuware, gewerbliches Angebot, Offene Rechnung (Vorkasse vorbehalten)<

ISBN: 9781402017292

The past fifteen years has witnessed an explosive growth in the fundamental research and applications of artificial neural networks (ANNs) and fuzzy logic (FL). The main impetus behind th… Meer...

The past fifteen years has witnessed an explosive growth in the fundamental research and applications of artificial neural networks (ANNs) and fuzzy logic (FL). The main impetus behind this growth has been the ability of such methods to offer solutions not amenable to conventional techniques, particularly in application domains involving pattern recognition, prediction and control. Although the origins of ANNs and FL may be traced back to the 1940s and 1960s, respectively, the most rapid progress has only been achieved in the last fifteen years. This has been due to significant theoretical advances in our understanding of ANNs and FL, complemented by major technological developments in high-speed computing. In geophysics, ANNs and FL have enjoyed significant success and are now employed routinely in the following areas (amongst others): 1. Exploration Seismology. (a) Seismic data processing (trace editing; first break picking; deconvolution and multiple suppression; wavelet estimation; velocity analysis; noise identification/reduction; statics analysis; dataset matching/prediction, attenuation), (b) AVO analysis, (c) Chimneys, (d) Compression I dimensionality reduction, (e) Shear-wave analysis, (f) Interpretation (event tracking; lithology prediction and well-log analysis; prospect appraisal; hydrocarbon prediction; inversion; reservoir characterisation; quality assessment; tomography). 2. Earthquake Seismology and Subterranean Nuclear Explosions. 3. Mineral Exploration. 4. Electromagnetic I Potential Field Exploration. (a) Electromagnetic methods, (b) Potential field methods, (c) Ground penetrating radar, (d) Remote sensing, (e) inversion., Springer<

2003, ISBN: 1402017294

2003 Gebundene Ausgabe Erde (Planet) / Geologie, Geologie, Erde (Planet) / Geophysik, Geophysik, Informatik, Intelligenz / Künstliche Intelligenz, KI, Künstliche Intelligenz - AI, Mathe… Meer...

2003 Gebundene Ausgabe Erde (Planet) / Geologie, Geologie, Erde (Planet) / Geophysik, Geophysik, Informatik, Intelligenz / Künstliche Intelligenz, KI, Künstliche Intelligenz - AI, Mathematik / Logik, Roboter - Robotik - Industrieroboter, Mathematische Grundlagen, Geowissenschaften, Elektronik, Künstliche Intelligenz, Digitale Signalverarbeitung (DSP), information; Map; Reservoir; ArtificialIntelligence; classification; fuzzylogic; Geophysics; intelligence, mit Schutzumschlag 11, [PU:Springer Netherlands; Springer Netherland]<