Recent Advances in Soft Computing and Cybernetics

1. Auflage 2021
ISBN: 978-3-030-61661-8
Verlag: Springer International Publishing

Buch, Englisch, Band 403, 320 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 499 g

Reihe: Studies in Fuzziness and Soft Computing

This monograph is intended for researchers and professionals in the fields of computer science and cybernetics. Nowadays, the areas of computer science and cybernetics (mainly its artificial intelligence branches) are subject to an immense degree of study and are applied in a wide range of technical and industrial projects. The individual chapters of this monograph were developed from a series of invited lectures at the Brno University of Technology in the years 2018 and 2019. The main aim of these lectures was to create an opportunity for students, academics, and professionals to exchange ideas, novel research methods, and new industrial applications in the fields related to soft computing and cybernetics. The authors of these chapters come from around the world and their works cover both new theoretical and application-oriented results from areas such as automation, control, robotics, optimization, statistics, reinforcement learning, image processing, and evolutionary algorithms.

Zielgruppe

Research

Autoren/Hrsg.

K¿dela, Jakub

Matoušek, Radek

Kudela, Jakub

Fachgebiete

• Mathematik | Informatik Mathematik Mathematik Interdisziplinär Systemtheorie
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Kybernetik, Systemtheorie, Komplexe Systeme
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Fuzzy-Systeme

Inhaltsverzeichnis

Chapter 1: Recurrence Plot and Convolutional Neural Networks for Terrain Classification using Energy Consumption of Multi-legged Robots.- Chapter 2: On Performance Evaluation of Distributed System Size Estimation Executed by Average Consensus Weights.- Chapter 3: Determination of air jet shape with complex methods using neural networks.- Chapter 4: Evaluation of Permutation-based Mutation Operators on the Problem of Automatic Connection Matching in Closed-loop Control System.- Chapter 5: Optimization of Deposition Parameters of a DLC Layer Using (RF) PECVD Technology.- Chapter 6: Modelling of Magnetron TiN Deposition Using the Design of Experiment.- Chapter 7: Solvent Optimization of Transferred Graphene with Rosin Layer Based on DOE.- Chapter 8: Statistical Analysis of the Width of Kerf Affecting the Manufacture of Minimal Inner Radius.- Chapter 9: Many-objective Optimisation for An Integrated Supply Chain Management Problem.- Chapter 10: A Classification-Based Heuristic Approach forDynamic Environments Does lifelong learning affect mobile robot evolution?.- Chapter 11: Cover Time on a Square Lattice by Two Colored Random Walkers Transition graph analysis of sliding tile puzzle heuristics.- Chapter 12: Stochastic optimization of a reinforced concrete element with regard to ultimate and serviceability limit states.- Chapter 13: Popular Optimisation Algorithms with Diversity-based Adaptive Mechanism for Population Size.- Chapter 14: Training Sets for Algorithm Tuning: Exploring the Impact of Structural Distribution Choosing an Optimal Size Range of the Product ”Pipe Clamp”.- Chapter 15: Data Aggregation in Mobile Wireless Sensor Networks Represented as Stationary Edge-Markovian Evolving Graphs.- Chapter 16: The simple method of automatic measurement of air infiltration in the smart houses.- Chapter 17: Evaluation of Surface Hardness using Digital Microscope Image Analysis Eigenfrequency Identification of the Hydraulic Cylinder.- Chapter 18: Robotic system for mapping of the environment for Industry 4.0 applications.- Chapter 19: Modification of the Teichmann Model of Population Evacuation in Conditions of Shuttle Transport Interpersonal internet messaging prospects in Industry 4.0 era.- Chapter 20: Classification of deformed objects using advanced LR parsers.- Chapter 21: Analog Two Degree of Freedom PID Controllers and their Tuning by Multiple Dominant Pole Method for Integrating Plants.