03546nam a22005775i 4500
978-3-540-72432-2
DE-He213
20141014113522.0
cr nn 008mamaa
100301s2007 gw | s |||| 0|eng d
9783540724322
978-3-540-72432-2
10.1007/978-3-540-72432-2
doi
eng
TA329-348
TA640-643
TBJ
bicssc
MAT003000
bisacsh
519
23
Melin, Patricia.
editor.
Analysis and Design of Intelligent Systems using Soft Computing Techniques
[electronic resource] /
edited by Patricia Melin, Oscar Castillo, Eduardo Gomez Ramírez, Janusz Kacprzyk, Witold Pedrycz.
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2007.
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2007.
XXI, 855 p. Also available online.
online resource.
text
txt
rdacontent
computer
c
rdamedia
online resource
cr
rdacarrier
text file
PDF
rda
Advances in Soft Computing,
1615-3871 ;
41
Fuzzy Logic as the Logic of Natural Languages -- I: Type-2 Fuzzy Logic: Theory and Applications -- II: Fuzzy Clustering: Theory and Applications -- III: Intelligent Identification and Control -- IV: Time Series Prediction -- V: Pattern Recognition -- VI: Evolutionary Computation -- VII: Fuzzy Modeling -- VIII: Intelligent Manufacturing and Scheduling -- IX: Intelligent Agents -- X: Neural Networks Theory -- XI: Robotics -- XII: Fuzzy Logic Applications.
This book comprises a selection of papers from IFSA 2007 on new methods for analysis and design of hybrid intelligent systems using soft computing techniques. Soft Computing (SC) consists of several computing paradigms, including fuzzy logic, neural networks, and genetic algorithms, which can be used to produce powerful hybrid intelligent systems for solving problems in pattern recognition, time series prediction, intelligent control, robotics and automation. Hybrid intelligent systems that combine several SC techniques are needed due to the complexity and high dimensionality of real-world problems. Hybrid intelligent systems can have different architectures, which have an impact on the efficiency and accuracy of these systems, for this reason it is very important to optimize architecture design. The architectures can combine, in different ways, neural networks, fuzzy logic and genetic algorithms, to achieve the ultimate goal of pattern recognition, time series prediction, intelligent control, or other application areas.
Engineering.
Artificial intelligence.
Mathematics.
Engineering mathematics.
Engineering.
Appl.Mathematics/Computational Methods of Engineering.
Artificial Intelligence (incl. Robotics).
Applications of Mathematics.
Castillo, Oscar.
editor.
Ramírez, Eduardo Gomez.
editor.
Kacprzyk, Janusz.
editor.
Pedrycz, Witold.
editor.
SpringerLink (Online service)
Springer eBooks
Printed edition:
9783540724315
Advances in Soft Computing,
1615-3871 ;
41
http://dx.doi.org/10.1007/978-3-540-72432-2
ZDB-2-ENG
EB
3162
3162