Introduction to morphogenetic computing

This book offers a concise introduction to morphogenetic computing, showing that its use makes global and local relations, defects in crystal non-Euclidean geometry databases with source and sink, genetic algorithms, and neural networks more stable and efficient. It also presents applications to dat...

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Bibliographic Details
Main Authors: Resconi, Germano, (Author), Xu, Xiaolin, (Author), Xu, Guanglin, (Author)
Format: eBook
Language: English
Published: Cham, Switzerland : Springer, 2017.
Series: Studies in computational intelligence ; v. 703.
Subjects:
Computer science > Mathematics.
Fuzzy logic.
elektronické knihy
electronic books
ISBN: 9783319576152
9783319576145
Physical Description: 1 online resource (ix, 172 pages) : illustrations

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Table of contents

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100 1 |a Resconi, Germano,  |e author. 
245 1 0 |a Introduction to morphogenetic computing /  |c Germano Resconi, Xiaolin Xu, Guanglin Xu. 
264 1 |a Cham, Switzerland :  |b Springer,  |c 2017. 
300 |a 1 online resource (ix, 172 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a počítač  |b c  |2 rdamedia 
338 |a online zdroj  |b cr  |2 rdacarrier 
490 1 |a Studies in computational intelligence,  |x 1860-949X ;  |v volume 703 
504 |a Includes bibliographical references. 
505 0 |a Database and Graph Theory [16] -- Crossover and Permutation -- Similarity Between Graphs in Database by Permutations -- Morphogenetic and Morpheme Network to Structured Worlds -- Formal Description and References in Graph Theory. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a This book offers a concise introduction to morphogenetic computing, showing that its use makes global and local relations, defects in crystal non-Euclidean geometry databases with source and sink, genetic algorithms, and neural networks more stable and efficient. It also presents applications to database, language, nanotechnology with defects, biological genetic structure, electrical circuit, and big data structure. In Turing machines, input and output states form a system - when the system is in one state, the input is transformed into output. This computation is always deterministic and without any possible contradiction or defects. In natural computation there are defects and contradictions that have to be solved to give a coherent and effective computation. The new computation generates the morphology of the system that assumes different forms in time. Genetic process is the prototype of the morphogenetic computing. At the Boolean logic truth value, we substitute a set of truth (active sets) values with possible contradictions. The value of a proposition is a set of true and false values. The aim of morphogenetic computing is to use and solve the contradictions in order to transform systems to allow classical computation. 
590 |a SpringerLink  |b Springer Complete eBooks 
650 0 |a Computer science  |x Mathematics. 
650 0 |a Fuzzy logic. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Xu, Xiaolin,  |e author. 
700 1 |a Xu, Guanglin,  |e author. 
776 0 8 |i Printed edition:  |z 9783319576145 
830 0 |a Studies in computational intelligence ;  |v v. 703.  |x 1860-949X 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://link.springer.com/10.1007/978-3-319-57615-2  |y Plný text 
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