• Produktbild: Computational Intelligence
  • Produktbild: Computational Intelligence
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Computational Intelligence 11th International Joint Conference, IJCCI 2019, Vienna, Austria, September 17–19, 2019, Revised Selected Papers

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

02.07.2022

Herausgeber

Juan Julián Merelo + weitere

Verlag

Springer

Seitenzahl

404

Maße (L/B/H)

23,5/15,5/2,3 cm

Gewicht

633 g

Auflage

1st edition 2021

Sprache

Englisch

ISBN

978-3-030-70596-1

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

02.07.2022

Herausgeber

Verlag

Springer

Seitenzahl

404

Maße (L/B/H)

23,5/15,5/2,3 cm

Gewicht

633 g

Auflage

1st edition 2021

Sprache

Englisch

ISBN

978-3-030-70596-1

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Computational Intelligence
  • Produktbild: Computational Intelligence
  • Part I: Evolutionary Computation Theory and Applications.- Niching-based Feature Selection with Multi-Tree Genetic Programming for Dynamic Flexible Job Shop Scheduling.- Building Market Timing Strategies using Trend Representative Testing and Computational Intelligence Metaheuristics.- Hybrid Strategy Coupling EGO and CMA-ES for Structural Topology Optimization in Statics and Crashworthiness.- An Empirical Study on Insertion and Deletion Mutation in Cartesian Genetic Programming.- Handling Complexity in Some Typical Problems of Distributed Systems by using Self-organizing Principles.- Part II: Fuzzy Computation Theory and Applications.- Markov Decision Processes with Fuzzy Risk-sensitive Rewards: The Best Coherent Risk Measures under Risk Averse Utilities.- Correlation Analysis via Intuitionistic Fuzzy Modal and Aggregation Operators.- Fuzzy Geometric Approach to Collision Estimation under Gaussian Noise in Human-robot Interaction.- Predicting Cardiovascular Death with Automatically Designed Fuzzy Logic Rule-based Models.- Part III: Neural Computation Theory and Applications.- Neural Models to Quantify the Determinants of Truck Fuel Consumption.- Towards a Class-aware Information Granulation for Graph Embedding and Classification.- Near Optimal Solving of the (N2–1)-Puzzle using Heuristics based on Artificial Neural Networks.- Deep Convolutional Neural Network Processing of Images for Obstacle Avoidance.- CVaR Q-learning.- Rule Extraction from Neural Networks and Other Classifiers Applied to XSS Detection.- Introduction to Sequential Heteroscedastic Probabilistic Neural Networks.