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Computing risk for oil prospects : principles and programs / / John W. Harbaugh, John C. Davis, Johannes Wendebourg
Computing risk for oil prospects : principles and programs / / John W. Harbaugh, John C. Davis, Johannes Wendebourg
Autore Harbaugh John Warvelle <1926->
Edizione [1st ed.]
Pubbl/distr/stampa Oxford, : Pergamon, 1995
Descrizione fisica 1 online resource (467 p.)
Disciplina 622/.1828
Altri autori (Persone) DavisJohn C
WendebourgJohannes
Collana Computer methods in the geosciences
Soggetto topico Petroleum - Prospecting - Data processing
Risk assessment - Data processing
ISBN 1-281-07193-5
9786611071936
0-08-052950-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover; Computing Risk for Oil Prospects:Principles and Programs; Copyright Page; CONTENTS; Foreword; Preface: Getting Things Rolling; Acknowledgments; Chapter 1. The Challenge of Risk Assessment; THE NATURE OF EXPLORATION; DEFINING PROBABILITIES; GEOLOGICAL UNCERTAINTY AND OIL OCCURRENCE; REGIONAL HYDROCARBON ENDOWMENT; PRINCIPAL PREMISES OF THIS BOOK; Chapter 2. Field Size Distributions; ESTIMATING "Q"; OIL FIELD POPULATIONS; STATISTICS OF FREQUENCY DISTRIBUTIONS; CUMULATIVE PROBABILITY PLOTS; CAUTION: FUTURE DISCOVERIES; Chapter 3. Success, Sequence, and Gambler's Ruin
SUCCESS RATIOS AND DRY HOLE PROBABILITIESLONG -TERM LUCK AND BINOMIAL DISTRIBUTION; Chapter 4. Estimating Discovery Size from Prospect Size; STATISTICAL CORRELATIONS BETWEEN PROPERTIES; ESTIMATING VOLUMES FROM SEISMIC MAPS; Chapter 5. Outcome Probabilities and Success Ratios; GEOLOGY AND DRILLING RESULTS; BAYESIAN REVISION OF REGIONAL SUCCESS RATIOS; BAYESIAN REVISION OF DISTRIBUTIONS; Chapter 6. Modeling Prospects; APPEAL OF THE SIMULATION APPROACH; STEPS IN MONTE CARLO SIMULATION; DISTRIBUTIONS AND PARAMETERS; ARE GEOLOGIC PROPERTIES INDEPENDENT?
Chapter 7. Mapping Properties and UncertaintiesCOMPUTER CONTOURING; HOW CONTOUR MAPS ARE MADE; GEOSTATISTICS IN RISK ASSESSMENT; Chapter 8. Discriminating Discoveries and Dry Holes; COMBINING GEOLOGICAL VARIABLES; ASSESSING A NEW AREA; UPDATING ASSESSMENTS; EXPLORING MAGYARSTAN TARGET AREA; THE IMMATURESTAGE; THE INTERMEDIATE STAGE; THE MATURE STAGE; THE FINAL STAGE; Chapter 9. Forecasting Cash Flow for a Prospect; FINANCIAL OVERVIEW; DISCOUNTED NET CASH FLOW ANALYSIS; USING CASHFLOW; OUTPUT FROM CASHFLOW; EXAMPLE APPLICATIONS OF CASHFLOW; Chapter 10. The Worth of Money
A DRY HOLE VERSUS A DISCOVERYChapter 11. RATS, Decision Tables, and Trees; RATs LINK OUTCOMES WITH RISK; HOW RATs TREAT INFORMATION; EXAMPLE RISK ANALYSIS TABLES; DECISION AIDS FOR ACTIONS; CONSTRUCTING DECISION TABLES; DECISION TREES; OVERVIEW AND A LOOK TO THE FUTURE; Chapter 12. Bringing it Together; RISKING THE ROSKOFF PROSPECT; THE PRIZE OFFERED; TROYSKA AND ROSKOFF AREAS COMPARED; ESTIMATING ROSKOFF'S DRY HOLE PROBABILITY; PROBABILITIES ATTACHED TO FIELD VOLUMES; ROSKOFF PROSPECT FINANCIAL ANALYSIS; SOME FINAL POINTS; Bibliography
Appendix A - SOFTWARE INSTALLATION of RISK: Software to perform probabilistic assessments and financial calculations in Computing Risk for Oil ProspectsAppendix B - RISKSTAT MANUAL: Linked computer programs that perform statistical analyses in RISK; Appendix C - RISKMAP MANUAL: Linked computer programs that perform the mapping function in RISK; Appendix D - RISKTAB MANUAL: Linked computer programs that perform financial calculations in RISK; Index
Record Nr. UNINA-9911006670303321
Harbaugh John Warvelle <1926->  
Oxford, : Pergamon, 1995
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Estimation of petroleum exploration success and the effects of resource base exhaustion via a simulation model / / by Lawrence J. Drew
Estimation of petroleum exploration success and the effects of resource base exhaustion via a simulation model / / by Lawrence J. Drew
Autore Drew Lawrence J.
Pubbl/distr/stampa [Washington, D.C.] : , : United States Department of the Interior, Geological Survey, , 1974
Descrizione fisica 1 online resource (iv, 25 pages) : illustrations
Collana Geological Survey bulletin
Soggetto topico Petroleum - Geology - Data processing
Petroleum - Geology - Mathematical models
Petroleum - Prospecting - Data processing
Petroleum - Prospecting - Mathematical models
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Model for petroleum exploration success
Record Nr. UNINA-9910707402003321
Drew Lawrence J.  
[Washington, D.C.] : , : United States Department of the Interior, Geological Survey, , 1974
Materiale a stampa
Lo trovi qui: Univ. Federico II
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GEOPLAY : a knowledge-based expert system : a model for exploration play analysis / / by Betty M. Miller
GEOPLAY : a knowledge-based expert system : a model for exploration play analysis / / by Betty M. Miller
Autore Miller Betty M.
Pubbl/distr/stampa Washington : , : United States Government Printing Office, , 1995
Descrizione fisica 1 online resource (iv, 53 pages) : illustrations
Collana U.S. Geological Survey bulletin
Soggetto topico Expert systems (Computer science)
Petroleum - Prospecting - Data processing
Stratigraphic traps (Petroleum geology) - Computer simulation
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti GEOPLAY
Record Nr. UNINA-9910705414903321
Miller Betty M.  
Washington : , : United States Government Printing Office, , 1995
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Seismic data interpretation using digital image processing / / Abdullatif A. Al-Shuhail, Saleh A. Al-Dossary, Saudi Aramco, Wail A. Mousa
Seismic data interpretation using digital image processing / / Abdullatif A. Al-Shuhail, Saleh A. Al-Dossary, Saudi Aramco, Wail A. Mousa
Autore Al-Shuhail Abdullatif Abdulrahman <1962->
Pubbl/distr/stampa Hoboken, New Jersey : , : Wiley, , 2017
Descrizione fisica 1 online resource (233 pages) : illustrations
Disciplina 551.220287
Soggetto topico Image processing - Digital techniques
Petroleum - Prospecting - Data processing
Seismic reflection method
ISBN 1-118-88180-X
1-119-12559-6
1-118-88179-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910796101403321
Al-Shuhail Abdullatif Abdulrahman <1962->  
Hoboken, New Jersey : , : Wiley, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Seismic data interpretation using digital image processing / / Abdullatif A. Al-Shuhail, Saleh A. Al-Dossary, Saudi Aramco, Wail A. Mousa
Seismic data interpretation using digital image processing / / Abdullatif A. Al-Shuhail, Saleh A. Al-Dossary, Saudi Aramco, Wail A. Mousa
Autore Al-Shuhail Abdullatif Abdulrahman <1962->
Pubbl/distr/stampa Hoboken, New Jersey : , : Wiley, , 2017
Descrizione fisica 1 online resource (233 pages) : illustrations
Disciplina 551.220287
Soggetto topico Image processing - Digital techniques
Petroleum - Prospecting - Data processing
Seismic reflection method
ISBN 1-118-88180-X
1-119-12559-6
1-118-88179-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910807891603321
Al-Shuhail Abdullatif Abdulrahman <1962->  
Hoboken, New Jersey : , : Wiley, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Soft computing and intelligent data analysis in oil exploration / / edited by M. Nikravesh, F. Aminzadeh, L.A. Zadeh
Soft computing and intelligent data analysis in oil exploration / / edited by M. Nikravesh, F. Aminzadeh, L.A. Zadeh
Edizione [1st ed.]
Pubbl/distr/stampa Amsterdam ; ; Boston, : Elsevier, 2003
Descrizione fisica 1 online resource (755 p.)
Disciplina 622/.18282/0285
Altri autori (Persone) NikraveshMasoud <1959->
AminzadehFred
ZadehLotfi Asker
Collana Developments in petroleum science
Soggetto topico Petroleum - Prospecting - Data processing
Hydrocarbon reservoirs - Computer simulation
Soft computing
ISBN 1-281-03881-4
9786611038816
0-08-054132-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover; Development in Petroleum Science: Soft Computing and Intellegent Data Analysis in Oil Exploration; Copyright Page; Foreword; Preface; About the Editors; List of Contributors; Contents; Part 1: Introduction: Fundamentals of Soft Computing; CHAPTER 1. SOFT COMPUTING FOR INTELLIGENT RESERVOIR CHARACTERIZATION AND MODELING; Abstract; 1. Introduction; 2. The role of soft computing techniques for intelligent reservoir characterization and exploration; 3. Artificial neural network and geoscience applications of artificial neural networks for exploration; 4. Fuzzy logic
5. Genetics algorithms6. Principal component analysis and wavelet; 7. Intelligent reservoir characterization; 8. Fractured reservoir characterization; 9. Future trends and conclusions; Appendix A. A basic primer on neural network and fuzzy logic terminology; Appendix B. Neural networks; Appendix C. Modified Levenberge-Marquardt technique; Appendix D. Neuro-fuzzy models; Appendix E. K-means clustering; Appendix F. Fuzzy c-means clustering; Appendix G. Neural network clustering; References; CHAPTER 2. FUZZY LOGIC; Abstract; 1. Fuzzy sets; 2. Operations on fuzzy sets
3. Arithmetic of fuzzy intervals4. Fuzzy relations; 5. Fuzzy systems; 6. Fuzzy propositions; 7. Approximate reasoning; 8. Suggestions for further study; References; CHAPTER 3. INTRODUCTION TO USING GENETIC ALGORITHMS; 1. Introduction; 2. Background to Genetic Algorithms; 3. Design of a Genetic Algorithm; 4. Conclusions; References; CHAPTER 4. HEURISTIC APPROACHES TO COMBINATORIAL OPTIMIZATION; 1. Introduction; 2. Decision variables; 3. Properties of the objective function; 4. Heuristic techniques; References; CHAPTER 5. INTRODUCTION TO GEOSTATISTICS; 1. Introduction; 2. Random variables
3. Covariance and spatial variability4. Kriging; 5. Stochastic simulations; References; CHAPTER 6. GEOSTATISTICS: FROM PATTERN RECOGNITION TO PATTERN REPRODUCTION; 1. Introduction; 2. The decision of stationarity; 3. The multi-Gaussian approach to spatial estimation and simulation; 4. Spatial interpolation with kriging; 5. Beyond two-point models: multiple-point geostatistics; 6. Conclusions; 7. Glossary; References; Part 2: Geophysical Analysis and Interpretation; CHAPTER 7. MINING AND FUSION OF PETROLEUM DATA WITH FUZZY LOGIC AND NEURAL NETWORK AGENTS; Abstract; 1. Introduction
2. Neural network and nonlinear mapping3. Neuro-fuzzy model for rule extraction; 4. Conclusion; Appendix A. Basic primer on neural network and fuzzy logic terminology; Appendix B. Neural networks; Appendix C. Modified Levenberge-Marquardt technique; Appendix D. Neuro-fuzzy models; Appendix E. K-means clustering; References; CHAPTER 8. TIME LAPSE SEISMIC AS A COMPLEMENTARY TOOL FOR IN-FILL DRILLING; Abstract; 1. Introduction; 2. Feasibility study; 3. 3D seismic data sets; 4. 4D seismic analysis approach; 5. Seismic modeling of various flow scenarios; 6. 4D seismic for detecting fluid movement
7. 4D seismic for detecting pore pressure changes
Record Nr. UNINA-9911006643403321
Amsterdam ; ; Boston, : Elsevier, 2003
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Syntactic pattern recognition for seismic oil exploration [[electronic resource] /] / Kou-Yuan Huang
Syntactic pattern recognition for seismic oil exploration [[electronic resource] /] / Kou-Yuan Huang
Autore Huang Kou-Yuan
Pubbl/distr/stampa River Edge, NJ, : World Scientific, c2002
Descrizione fisica 1 online resource (149 p.)
Disciplina 622/.1828/0285
Collana Series in machine perception and artificial intelligence
Soggetto topico Petroleum - Prospecting - Data processing
Pattern recognition systems
Seismic reflection method - Data processing
Soggetto genere / forma Electronic books.
ISBN 1-281-92835-6
9786611928353
981-277-574-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto CONTENTS; AUTHOR'S BIOGRAPHY; PREFACE; 1 INTRODUCTION TO SYNTACTIC PATTERN RECOGNITION; 1.1. SUMMARY; 1.2. INTRODUCTION; 1.3. ORGANIZATION OF THIS BOOK; 2 INTRODUCTION TO FORMAL LANGUAGES AND AUTOMATA; 2.1. SUMMARY; 2.2. LANGUAGES AND GRAMMARS; 2.3. FINITE-STATE AUTOMATON; 2.4. EARLEY'S PARSING; 2.5. FINITE-STATE GRAMMATICAL INFERENCE; 2.6. STRING DISTANCE COMPUTATION; 3 ERROR-CORRECTING FINITE-STATE AUTOMATON FOR RECOGNITION OF RICKER WAVELETS; 3.1. SUMMARY; 3.2. INTRODUCTION; 3.3. SYNTACTIC PATTERN RECOGNITION; 3.3.1. Training and Testing Ricker Wavelets
3.3.2. Location of Waveforms and Pattern Representation3.4. EXPANDED GRAMMARS; 3.4.1. General Expanded Finite-State Grammar; 3.4.2. Restricted Expanded Finite-State Grammar; 3.5. MINIMUM-DISTANCE ERROR-CORRECTING FINITE-STATE PARSING; 3.6. CLASSIFICATION OF RICKER WAVELETS; 3.7. DISCUSSION AND CONCLUSIONS; 4 ATTRIBUTED GRAMMAR AND ERROR-CORRECTING EARLEY'S PARSING; 4.1. SUMMARY; 4.2. INTRODUCTION; 4.3. ATTRIBUTED PRIMITIVES AND STRING; 4.4. DEFINITION OF ERROR TRANSFORMATIONS FOR ATTRIBUTED STRINGS; 4.5. INFERENCE OF ATTRIBUTED GRAMMAR
4.6. MINIMUM-DISTANCE ERROR-CORRECTING EARLEY'S PARSING FOR ATTRIBUTED STRING4.7. EXPERIMENT; 5 ATTRIBUTED GRAMMAR AND MATCH PRIMITIVE MEASURE (MPM) FOR RECOGNITION OF SEISMIC WAVELETS; 5.1. SUMMARY; 5.2. SIMILARITY MEASURE OF ATTRIBUTED STRING MATCHING; 5.3. INFERENCE OF ATTRIBUTED GRAMMAR; 5.4. TOP-DOWN PARSING USING MPM; 5.5. EXPERIMENTS OF SEISMIC PATTERN RECOGNITION; 5.5.1. Recognition of Seismic Ricker Wavelets; 5.5.2. Recognition of Wavelets in Real Seismogram; 5.6. CONCLUSIONS; 6 STRING DISTANCE AND LIKELIHOOD RATIO TEST FOR DETECTION OF CANDIDATE BRIGHT SPOT; 6.1. SUMMARY
6.2. INTRODUCTION6.3. OPTIMAL QUANTIZATION ENCODING; 6.4. LIKELIHOOD RATIO TEST (LRT); 6.5. LEVENSHTEIN DISTANCE AND ERROR PROBABILITY; 6.6. EXPERIMENT AT MISSISSIPPI CANYON; 6.6.1. Likelihood Ratio Test (LRT); 6.6.2. Threshold for Global Detection; 6.6.3. Threshold for the Detection of Candidate Bright Spot; 6.7. EXPERIMENT AT HIGH ISLAND; 7 TREE GRAMMAR AND AUTOMATON FOR SEISMIC PATTERN RECOGNITION; 7.1. SUMMARY; 7.2. INTRODUCTION; 7.3. TREE GRAMMAR AND LANGUAGE; 7.4. TREE AUTOMATON; 7.5. TREE REPRESENTATIONS OF PATTERNS; 7.6. INFERENCE OF EXPANSIVE TREE GRAMMAR
7.7. WEIGHTED MINIMUM-DISTANCE SPECTA7.8. MODIFIED MAXIMUM-LIKELIHOOD SPECTA; 7.9. MINIMUM DISTANCE GECTA; 7.10. EXPERIMENTS ON INPUT TESTING SEISMOGRAMS; 7.11. DISCUSSION AND CONCLUSIONS; 8 A HIERARCHICAL RECOGNITION SYSTEM OF SEISMIC PATTERNS AND FUTURE STUDY; 8.1. SUMMARY; 8.2. INTRODUCTION; 8.3. SYNTACTIC PATTERN RECOGNITION; 8.3.1. Linking Processing and Segmentation; 8.3.2. Primitive Recognition; 8.3.3. Training Patterns; 8.3.4. Grammatical Inference; 8.3.5. Finite-state Error Correcting Parsing; 8.4. COMMON-SOURCE SIMULATED SEISMOGRAM RESULTS; 8.5. STACKED SIMULATED SEISMOGRAM RESULTS
8.6. CONCLUSIONS
Record Nr. UNINA-9910454653903321
Huang Kou-Yuan  
River Edge, NJ, : World Scientific, c2002
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Syntactic pattern recognition for seismic oil exploration [[electronic resource] /] / Kou-Yuan Huang
Syntactic pattern recognition for seismic oil exploration [[electronic resource] /] / Kou-Yuan Huang
Autore Huang Kou-Yuan
Pubbl/distr/stampa River Edge, NJ, : World Scientific, c2002
Descrizione fisica 1 online resource (149 p.)
Disciplina 622/.1828/0285
Collana Series in machine perception and artificial intelligence
Soggetto topico Petroleum - Prospecting - Data processing
Pattern recognition systems
Seismic reflection method - Data processing
ISBN 1-281-92835-6
9786611928353
981-277-574-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto CONTENTS; AUTHOR'S BIOGRAPHY; PREFACE; 1 INTRODUCTION TO SYNTACTIC PATTERN RECOGNITION; 1.1. SUMMARY; 1.2. INTRODUCTION; 1.3. ORGANIZATION OF THIS BOOK; 2 INTRODUCTION TO FORMAL LANGUAGES AND AUTOMATA; 2.1. SUMMARY; 2.2. LANGUAGES AND GRAMMARS; 2.3. FINITE-STATE AUTOMATON; 2.4. EARLEY'S PARSING; 2.5. FINITE-STATE GRAMMATICAL INFERENCE; 2.6. STRING DISTANCE COMPUTATION; 3 ERROR-CORRECTING FINITE-STATE AUTOMATON FOR RECOGNITION OF RICKER WAVELETS; 3.1. SUMMARY; 3.2. INTRODUCTION; 3.3. SYNTACTIC PATTERN RECOGNITION; 3.3.1. Training and Testing Ricker Wavelets
3.3.2. Location of Waveforms and Pattern Representation3.4. EXPANDED GRAMMARS; 3.4.1. General Expanded Finite-State Grammar; 3.4.2. Restricted Expanded Finite-State Grammar; 3.5. MINIMUM-DISTANCE ERROR-CORRECTING FINITE-STATE PARSING; 3.6. CLASSIFICATION OF RICKER WAVELETS; 3.7. DISCUSSION AND CONCLUSIONS; 4 ATTRIBUTED GRAMMAR AND ERROR-CORRECTING EARLEY'S PARSING; 4.1. SUMMARY; 4.2. INTRODUCTION; 4.3. ATTRIBUTED PRIMITIVES AND STRING; 4.4. DEFINITION OF ERROR TRANSFORMATIONS FOR ATTRIBUTED STRINGS; 4.5. INFERENCE OF ATTRIBUTED GRAMMAR
4.6. MINIMUM-DISTANCE ERROR-CORRECTING EARLEY'S PARSING FOR ATTRIBUTED STRING4.7. EXPERIMENT; 5 ATTRIBUTED GRAMMAR AND MATCH PRIMITIVE MEASURE (MPM) FOR RECOGNITION OF SEISMIC WAVELETS; 5.1. SUMMARY; 5.2. SIMILARITY MEASURE OF ATTRIBUTED STRING MATCHING; 5.3. INFERENCE OF ATTRIBUTED GRAMMAR; 5.4. TOP-DOWN PARSING USING MPM; 5.5. EXPERIMENTS OF SEISMIC PATTERN RECOGNITION; 5.5.1. Recognition of Seismic Ricker Wavelets; 5.5.2. Recognition of Wavelets in Real Seismogram; 5.6. CONCLUSIONS; 6 STRING DISTANCE AND LIKELIHOOD RATIO TEST FOR DETECTION OF CANDIDATE BRIGHT SPOT; 6.1. SUMMARY
6.2. INTRODUCTION6.3. OPTIMAL QUANTIZATION ENCODING; 6.4. LIKELIHOOD RATIO TEST (LRT); 6.5. LEVENSHTEIN DISTANCE AND ERROR PROBABILITY; 6.6. EXPERIMENT AT MISSISSIPPI CANYON; 6.6.1. Likelihood Ratio Test (LRT); 6.6.2. Threshold for Global Detection; 6.6.3. Threshold for the Detection of Candidate Bright Spot; 6.7. EXPERIMENT AT HIGH ISLAND; 7 TREE GRAMMAR AND AUTOMATON FOR SEISMIC PATTERN RECOGNITION; 7.1. SUMMARY; 7.2. INTRODUCTION; 7.3. TREE GRAMMAR AND LANGUAGE; 7.4. TREE AUTOMATON; 7.5. TREE REPRESENTATIONS OF PATTERNS; 7.6. INFERENCE OF EXPANSIVE TREE GRAMMAR
7.7. WEIGHTED MINIMUM-DISTANCE SPECTA7.8. MODIFIED MAXIMUM-LIKELIHOOD SPECTA; 7.9. MINIMUM DISTANCE GECTA; 7.10. EXPERIMENTS ON INPUT TESTING SEISMOGRAMS; 7.11. DISCUSSION AND CONCLUSIONS; 8 A HIERARCHICAL RECOGNITION SYSTEM OF SEISMIC PATTERNS AND FUTURE STUDY; 8.1. SUMMARY; 8.2. INTRODUCTION; 8.3. SYNTACTIC PATTERN RECOGNITION; 8.3.1. Linking Processing and Segmentation; 8.3.2. Primitive Recognition; 8.3.3. Training Patterns; 8.3.4. Grammatical Inference; 8.3.5. Finite-state Error Correcting Parsing; 8.4. COMMON-SOURCE SIMULATED SEISMOGRAM RESULTS; 8.5. STACKED SIMULATED SEISMOGRAM RESULTS
8.6. CONCLUSIONS
Record Nr. UNINA-9910782392103321
Huang Kou-Yuan  
River Edge, NJ, : World Scientific, c2002
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui

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