Opportunities and challenges for next-generation applied intelligence
The term "Artificial Intelligence" has been used since 1956 and has become a very popular research field. AI Techniques have been used in almost any domain. The term "Applied Intelligence" was created to represent its practicality. It emphasizes applications of applied intelligen...
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| Outros Autores: | , , |
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| Formato: | Livre numérique |
| Idioma: | Anglais |
| Publicado em: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edição: | 1st ed. 2009. |
| Colecção: | Studies in Computational Intelligence
214 |
| Acesso em linha: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Opportunities and Challenges for Next-Generation Applied Intelligence, Texte imprimé, 9783540928133 • Opportunities and Challenges for Next-Generation Applied Intelligence, Texte imprimé, 9783642027697 • Opportunities and Challenges for Next-Generation Applied Intelligence, Texte imprimé, 9783642100888 • Opportunities and Challenges for Next-Generation Applied Intelligence, Texte imprimé, 9783540928133 |
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| 020 | |a 9783540928140 | ||
| 041 | 0 | |a eng | |
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| 245 | 0 | 0 | |a Opportunities and challenges for next-generation applied intelligence |c edited by Janusz Kacprzyk, Been-Chian Chien, Tzung-Pei Hong. |
| 250 | |a 1st ed. 2009. | ||
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Studies in Computational Intelligence |v 214 |x 1860-9503 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a Bio-informatics An Intelligent System for Analyzing Gene Networks from Microarray Data Predicting Residue-Wise Contact Orders in Proteins by Support Vector Regression with Parametric-Insensitive Model SNP-Flankplus: SNP ID-Centric Retrieval of Flanking Sequences Tumor Classification on Mammographies Based on BPNN and Sobel Filter Computer Vision An Adaptive Biometric System Based on Palm Texture Feature and LVQ Neural Network A Binarization Approach for Wafer ID Based on Asterisk-Shape Filter Feature Particles Tracking for the Moving Object Break-Segment Detection and Recognition in Broadcasting Video/Audio Based on C/S Architecture Data Mining and Knowledge Discovery A Time Series Case-Based Predicting Model for Reservation Forecasting A Filtering Approach for Mining Frequent Itemsets Mining Data Streams with Skewed Distribution by Static Classifier Ensemble Accumulative Influence Weight Collaborative Filtering Recommendation Approach RAD: A Radar-Alike Data-Clustering Algorithm for Large Databases Decision Support Systems Applying ELECTRE and Maximizing Deviation Method for Stock Portfolio Selection under Fuzzy Environment Constraint Programming Approach for a University Timetabling Decision Support System with Hard and Soft Constraints Behavioral Scoring Model for Bank Customers Using Data Envelopment Analysis Decision Support for Combinatorial Reverse Auction with Multiple Buyers and Sellers Visualization-Based Approaches to Support Context Sharing towards Public Involvement Support System Genetic Algorithms A Case Study of Genetic Algorithms for Quay Crane Scheduling Genetic Algorithm and Time-Scale Separation on the Reduced-Order Observer-Based Control Design for a Class of Discrete Systems AKDB Tree: An Adjustable KDB-Tree for Efficiently Supporting Nearest Neighbor Queries in P2P Systems Optimal Lot Sizing and Algorithm for Dynamic Pricing under Random Yield and Demand Intelligent Design and Manufacturing Collaborative Production Machine Choice System Based on Hierarchical Case Based Reasoning Passive Analog Filter Design Using GP Population Control Strategies Thruster Fault-Tolerant for UUVs Based on Quantum-Behaved Particle Swarm Optimization Intelligent System for Locating, Labeling, and Logging (ISL 3) Probabilistic Analysis of Information Center Insecurity Intelligent Systems Application of Combined Forecasting Models to Intelligent Transportation Systems Fuzzy Performance Analysis Model Based on Grid Environment Emotional Processes in Computer Games Probability Reasoning Internet Assessment System with Rule Usage Structures and Similarity Comparisons Integration Systems for Real Life Applications Combining Genetic Algorithm and Simulated Annealing to Design H 2 / H ??? Deconvolution Filter with Missing Observations The Hybrid Model Development of Clustering and Back Propagation Network in Printed Circuit Board Sales Forecasting Toward the Knowledge Circulation between Institutions and Public Audiences with Virtual Agents Muon Tomography Algorithms for Nuclear Threat Detection Machine Learning A Model-Based Software Reasoning Approach to Software Debugging Learning Rules from Multiple Criteria Decision Tables A Mobile Location Algorithm with Least Range and Clustering Techniques for NLoS Environments Learning Interaction Structure Using a Hierarchy of Dynamical Systems Fuzzy Assessment for Survey Defuzzified by Signed Distance Method Multi-Agent Systems Multi-Mobile Agent Based Virtual Alliance Formation (MAVAF) Platform | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a The term "Artificial Intelligence" has been used since 1956 and has become a very popular research field. AI Techniques have been used in almost any domain. The term "Applied Intelligence" was created to represent its practicality. It emphasizes applications of applied intelligent systems to solve real-life problems in all areas including engineering, science, industry, automation, robotics, business, finance, medicine, biomedicine, bioinformatics, cyberspace, man-machine interactions, etc. The International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA-AIE) seeks for quality papers on applied intelligence that incorporate all kinds of real life problems. The objective of the conference was to bring together scientists, engineers and practitioners, who work on designing or developing applications that use intelligent techniques or work on intelligent techniques and apply them to application domains. The book is comprises of 12 parts including 52 chapters providing an up-to-date and state-of-the research on the applications of artificial Intelligence techniques | ||
| 700 | 1 | |a Kacprzyk, Janusz, |d 1947- |4 pbd | |
| 700 | 1 | |a Hong, Tzung-Pei. |4 pbd | |
| 700 | 1 | |a Chien, Been-Chian. |4 pbd | |
| 776 | 0 | |t Opportunities and Challenges for Next-Generation Applied Intelligence |b Texte imprimé |z 9783540928133 | |
| 776 | 0 | |t Opportunities and Challenges for Next-Generation Applied Intelligence |b Texte imprimé |z 9783642027697 | |
| 776 | 0 | |t Opportunities and Challenges for Next-Generation Applied Intelligence |b Texte imprimé |z 9783642100888 | |
| 776 | 0 | |t Opportunities and Challenges for Next-Generation Applied Intelligence |b Texte imprimé |z 9783540928133 | |
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