Del i serien Studies in Computational Intelligence

Computational Intelligence

11th International Joint Conference, IJCCI 2019, Vienna, Austria, September 17–19, 2019, Revised Selected Papers

Häftad, Engelska, 2022

AvJuan Julián Merelo,Jonathan Garibaldi,Alejandro Linares-Barranco,Kevin Warwick,Kurosh Madani

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This present book includes a set of selected revised and extended versions of the best papers presented at the 11th International Joint Conference on Computational Intelligence (IJCCI 2019) – held in Vienna, Austria, from 17 to 19 September 2019.

Produktinformation

Utgivningsdatum2022-07-02
Mått155 x 235 x 23 mm
Vikt633 g
FormatHäftad
SpråkEngelska
SerieStudies in Computational Intelligence
Antal sidor404
FörlagSpringer Nature Switzerland AG
ISBN9783030705961

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Artificiell intelligens inom Data och IT

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.