Computational Intelligence

International Joint Conference, IJCCI 2018 Seville, Spain, September 18-20, 2018 Revised Selected Papers
1. Auflage 2021
ISBN: 978-3-030-64730-8
Verlag: Springer International Publishing

Buch, Englisch, Band 893, 147 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 418 g

Reihe: Studies in Computational Intelligence

This present book includes a set of selected revised and extended versions of the best papers presented at the 10th International Joint Conference on Computational Intelligence (IJCCI 2018), held in Seville, Spain, from 18 to 20 September 2018, which covers four thriving fields in Computational Intelligence: Evolutionary Computation, Fuzzy Computation, Neural Computation, and Cognitive and Hybrid Systems. Besides presenting the recent advances in these areas, the book aims, on the one hand, to aggregate new and innovative solutions for confirmed researchers and, on the other hand, to provide a source of information and/or inspiration for young researchers or learners interested in the ever-increasing and current field of Computational Intelligence. This book constitutes a precious provision of knowledge for individual researchers as well as representing a valuable sustenance for collective use in academic libraries (of universities and engineering schools) relating innovative techniques in various fields of applications.

Zielgruppe

Research

Autoren/Hrsg.

Sabourin, Christophe

Merelo, Juan Julián

Warwick, Kevin

Barranco, Alejandro Linares

Madani, Kurosh

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

A Method for Selecting Suitable Records based on Fuzzy Conformance and Aggregation Functions.- Reconciling Adapted Psychological Pro?ling with the New European Data Protection Legislation.- Concordance in FAST-GDM Problems: Comparing Theoretical Indices with Perceived Levels.- Arti?cial Intelligence Algorithms Selection and Tuning for Anomaly Detection.- AI Turning Points and the Road Ahead.- E?cient Approximation of a Recursive Growing Neural Gas.- Using Convolutional Neural Networks and Recurrent Neural Network for Human Gesture Recognition and Problem Solving.