Könyv Advances in Data Analysis with Computational Intelligence Methods Adam E Gaweda

Advances in Data Analysis with Computational Intelligence Methods

Dedicated to Professor Jacek urada

Nyelv: Angol
Kötés: Kemény kötésű
Elérhetőség: Beszállítói készleten
Küldés 10-13 napon belül
38 435 Ft
This volume is dedicated to Professor Jacek urada, Full Professor at the Computational Intelligence...

Információk a könyvről

Nyelv
Angol
Kötés
Könyv - Kemény kötésű
Kiadva
2017
oldal
412
EAN
9783319679457
ISBN
3319679457
Enbook ID
18051669
Súly
7686
Méretek
155 x 235 x 29

Teljes leírás

This volume is dedicated to Professor Jacek urada, Full Professor at the Computational Intelligence Laboratory, Department of Electrical and Computer Engineering, J.B. Speed School of Engineering, University of Louisville, Kentucky, USA, as a token of appreciation for his scientific and scholarly achievements, and his long time service to many communities, notably - from the point of view of research interests topics - those of computational intelligence, in particular neural networks, machine learning, data analyses and data mining, but also fuzzy logic, evolutionary computation, to just mention a few. On the other hand, from an institutional and organizational point of view, this is also a small token of appreciation for his long time dedication and service to so many scientific, scholarly and professional communities and societies, notably those of IEEE (Institute of Electrical and Electronics Engineers), the world largest professional technical professional organization dedicated to advancing science and technology in a broad spectrum of areas and fields related to its scope of interest. The volume is divided into 5 parts that cover main issues related to the topic of the volume. Part 1 deals with theoretic, algorithmic and implementation problems related to an intelligent use of data in the sense of how to get from data information and knowledge which can be in general useful for solving some relevant tasks. Part 2 is devoted to various aspects of neural networks and connectionist systems. Part 3 deals with broadly perceived tools and techniques for intelligent technologies in systems modeling. Part 4 with "Intelligent technologies in decision making, optimization and control" and part 5 with "Applications of intelligent technologies".

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