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Computational Intelligence [[electronic resource] ] : A Methodological Introduction / / by Rudolf Kruse, Christian Borgelt, Christian Braune, Sanaz Mostaghim, Matthias Steinbrecher
| Computational Intelligence [[electronic resource] ] : A Methodological Introduction / / by Rudolf Kruse, Christian Borgelt, Christian Braune, Sanaz Mostaghim, Matthias Steinbrecher |
| Autore | Kruse Rudolf |
| Edizione | [2nd ed. 2016.] |
| Pubbl/distr/stampa | London : , : Springer London : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XIII, 564 p. 255 illus.) |
| Disciplina | 006.3 |
| Collana | Texts in Computer Science |
| Soggetto topico |
Artificial intelligence
Applied mathematics Engineering mathematics Artificial Intelligence Mathematical and Computational Engineering |
| ISBN | 1-4471-7296-5 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Part I: Neural Networks -- Introduction -- Threshold Logic Units -- General Neural Networks -- Multi-Layer Perceptrons -- Radial Basis Function Networks -- Self-Organizing Maps -- Hopfield Networks -- Recurrent Networks -- Mathematical Remarks for Neural Networks -- Part II: Evolutionary Algorithms -- Introduction to Evolutionary Algorithms -- Elements of Evolutionary Algorithms -- Fundamental Evolutionary Algorithms -- Computational Swarm Intelligence -- Part III: Fuzzy Systems -- Fuzzy Sets and Fuzzy Logic -- The Extension Principle -- Fuzzy Relations -- Similarity Relations -- Fuzzy Control -- Fuzzy Data Analysis -- Part IV: Bayes and Markov Networks -- Introduction to Bayes Networks -- Elements of Probability and Graph Theory -- Decompositions -- Evidence Propagation -- Learning Graphical Models -- Belief Revision -- Decision Graphs. |
| Record Nr. | UNINA-9910254982803321 |
Kruse Rudolf
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| London : , : Springer London : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Evolutionary Multi-Criterion Optimization [[electronic resource] ] : 10th International Conference, EMO 2019, East Lansing, MI, USA, March 10-13, 2019, Proceedings / / edited by Kalyanmoy Deb, Erik Goodman, Carlos A. Coello Coello, Kathrin Klamroth, Kaisa Miettinen, Sanaz Mostaghim, Patrick Reed
| Evolutionary Multi-Criterion Optimization [[electronic resource] ] : 10th International Conference, EMO 2019, East Lansing, MI, USA, March 10-13, 2019, Proceedings / / edited by Kalyanmoy Deb, Erik Goodman, Carlos A. Coello Coello, Kathrin Klamroth, Kaisa Miettinen, Sanaz Mostaghim, Patrick Reed |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XX, 757 p. 374 illus., 228 illus. in color.) |
| Disciplina | 519.3 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Algorithms
Artificial intelligence Computer science Computer science—Mathematics Computer networks Artificial intelligence—Data processing Artificial Intelligence Models of Computation Mathematics of Computing Computer Communication Networks Data Science |
| ISBN | 3-030-12598-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996466462003316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Evolutionary Multi-Criterion Optimization [[electronic resource] ] : 10th International Conference, EMO 2019, East Lansing, MI, USA, March 10-13, 2019, Proceedings / / edited by Kalyanmoy Deb, Erik Goodman, Carlos A. Coello Coello, Kathrin Klamroth, Kaisa Miettinen, Sanaz Mostaghim, Patrick Reed
| Evolutionary Multi-Criterion Optimization [[electronic resource] ] : 10th International Conference, EMO 2019, East Lansing, MI, USA, March 10-13, 2019, Proceedings / / edited by Kalyanmoy Deb, Erik Goodman, Carlos A. Coello Coello, Kathrin Klamroth, Kaisa Miettinen, Sanaz Mostaghim, Patrick Reed |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XX, 757 p. 374 illus., 228 illus. in color.) |
| Disciplina | 519.3 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Algorithms
Artificial intelligence Computer science Computer science—Mathematics Computer networks Artificial intelligence—Data processing Artificial Intelligence Models of Computation Mathematics of Computing Computer Communication Networks Data Science |
| ISBN | 3-030-12598-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910337572003321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Frontiers in Computational Intelligence [[electronic resource] /] / edited by Sanaz Mostaghim, Andreas Nürnberger, Christian Borgelt
| Frontiers in Computational Intelligence [[electronic resource] /] / edited by Sanaz Mostaghim, Andreas Nürnberger, Christian Borgelt |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (IX, 143 p. 43 illus., 32 illus. in color.) |
| Disciplina | 620 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Artificial intelligence Computational Intelligence Artificial Intelligence |
| ISBN | 3-319-67789-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- 1 What a Fuzzy Set Is and What It Is not? -- Abstract -- 1 Introduction -- 2 What Is It a Fuzzy Set? -- 3 How Fuzzy Sets Can Be Computationally Managed? -- 4 Towards Approaching Qualitative and Working Meanings -- 5 Conclusion -- References -- Fuzzy Random Variables à la Kruse & Meyer and à la Puri & Ralescu: Key Differences and Coincidences -- 1 Introduction -- 2 Two Approaches to Model Fuzzy Random Variables -- 3 Distribution and Independence of Fuzzy Random Variables -- 4 Parameters of the Distribution of Fuzzy Random Variables -- 5 Statistical Data Analysis from Fuzzy Random Variables -- References -- Statistical Inference for Incomplete Ranking Data: A Comparison of Two Likelihood-Based Estimators -- 1 Introduction -- 2 Preliminaries and Notation -- 3 Probabilistic Models -- 3.1 The Plackett-Luce Model -- 3.2 A Stochastic Model of Coarsening -- 4 Statistical Inference -- 4.1 The Marginal Likelihood -- 4.2 The Face-Value Likelihood -- 5 Comparison of the Approaches -- 5.1 Known Coarsening -- 5.2 Unknown Coarsening -- 6 Conclusion -- References -- Interval Type--2 Defuzzification Using Uncertainty Weights -- 1 Introduction -- 2 Karnik--Mendel Interval Type--2 Defuzzification -- 3 Nie--Tan Interval Type--2 Defuzzification -- 4 The Uncertainty Weight Method -- 5 Experiments -- 6 Conclusions -- References -- Exploring Time-Resolved Data for Patterns and Validating Single Clusters -- 1 What Cluster Analysis is Meant for and What it is used for -- 2 Short Revision of Dynamic Data Assigning Assessment Clustering in the Context of Fuzzy Clustering -- 3 DDAA for Exploring Time-Resolved Data -- 4 An Example -- 5 Conclusions -- References -- Interpreting Cluster Structure in Waveform Data with Visual Assessment and Dunn's Index -- 1 Introduction -- 2 Related Work -- 3 Dunn's Index.
4 Visualization of High Dimensional Data -- 5 Single Linkage Clustering, iVAT and Dunn's Index -- 6 Experiments with Simulated Waveform Data -- 7 Customizing Dunn's Index for Waveform Data -- 8 Single Linkage Revisited -- 9 Conclusions -- References -- A Shared Encoder DNN for Integrated Recognition and Segmentation of Traffic Scenes -- 1 Introduction -- 2 Related Work -- 3 Deep Neural Networks -- 3.1 Processing Layers -- 3.2 Parameter Optimization -- 4 Architecture for Integrated Recognition and Segmentation -- 4.1 Feature Encoder -- 4.2 Segmentation Decoder -- 4.3 Spatial Priors for Scene Segmentation -- 4.4 Recognition Decoder -- 5 Experiments -- 5.1 Recognition -- 5.2 Segmentation -- 6 Summary and Outlook -- References -- 8 Fuzzy Ontology Support for Knowledge Mobilisation -- Abstract -- 1 Introduction -- 1.1 Management Science -- 1.2 Analytics -- 2 Fuzzy Ontology in Industrial Applications -- 2.1 Fuzzy Ontology for Process Industry -- 2.2 The Keyword Ontology -- 2.3 A Minimax Approach to Assess Keyword Dependencies -- 2.4 Demo Architecture and Implementation -- 3 Digital Coaching -- 3.1 Coaching with Markov Decision Processes -- 3.2 Coaching with Virtual Environments -- 4 Summary and Future, Next Scenarios -- References. |
| Record Nr. | UNINA-9910299877603321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Proceedings of the 3rd Workshop on Biologically Inspired Algorithms for Distributed Systems
| Proceedings of the 3rd Workshop on Biologically Inspired Algorithms for Distributed Systems |
| Autore | Folino Gianluigi |
| Pubbl/distr/stampa | [Place of publication not identified], : ACM, 2011 |
| Descrizione fisica | 1 online resource (58 pages) |
| Collana | ACM Conferences |
| Soggetto topico |
Engineering & Applied Sciences
Computer Science |
| ISBN | 1-4503-0733-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | BADS '11 |
| Record Nr. | UNINA-9910376526003321 |
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Folino Gianluigi
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| [Place of publication not identified], : ACM, 2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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