000 05587nam a22005295i 4500
001 978-3-540-70706-6
003 DE-He213
005 20170628034651.0
007 cr nn 008mamaa
008 100301s2007 gw | s |||| 0|eng d
020 _a9783540707066
_9978-3-540-70706-6
024 7 _a10.1007/978-3-540-70706-6
_2doi
050 4 _aTA329-348
050 4 _aTA640-643
072 7 _aTBJ
_2bicssc
072 7 _aMAT003000
_2bisacsh
082 0 4 _a519
_223
100 1 _aSaad, Ashraf.
_eeditor.
245 1 0 _aSoft Computing in Industrial Applications
_h[electronic resource] :
_bRecent Trends /
_cedited by Ashraf Saad, Keshav Dahal, Muhammad Sarfraz, Rajkumar Roy.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2007.
300 _aXIV, 330 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aAdvances in Soft Computing,
_x1615-3871 ;
_v39
505 0 _aInvited Keynote -- Hybrid Dynamic Systems in an Industry Design Application -- I: Soft Computing in Computer Graphics, Imaging and Vision -- Object Recognition Using Particle Swarm Optimization on Fourier Descriptors -- Gestix: A Doctor-Computer Sterile Gesture Interface for Dynamic Environments -- Differential Evolution for the Registration of Remotely Sensed Images -- Geodesic Distance Based Fuzzy Clustering -- II: Control Systems -- Stability Analysis of the Simplest Takagi-Sugeno Fuzzy Control System Using Popov Criterion -- Identification of an Experimental Process by B-Spline Neural Network Using Improved Differential Evolution Training -- Applying Particle Swarm Optimization to Adaptive Controller -- B-Spline Neural Network Using an Artificial Immune Network Applied to Identification of a Ball-and-Tube Prototype -- III: Pattern Recognition -- Pattern Recognition for Industrial Security Using the Fuzzy Sugeno Integral and Modular Neural Networks -- Application of a GA/Bayesian Filter-Wrapper Feature Selection Method to Classification of Clinical Depression from Speech Data -- Comparison of PSO-Based Optimized Feature Computation for Automated Configuration of Multi-sensor Systems -- Evaluation of Objective Features for Classification of Clinical Depression in Speech by Genetic Programming -- A Computationally Efficient SUPANOVA: Spline Kernel Based Machine Learning Tool -- IV: Classification -- Multiobjective Genetic Programming Feature Extraction with Optimized Dimensionality -- A Cooperative Learning Model for the Fuzzy ARTMAP-Dynamic Decay Adjustment Network with the Genetic Algorithm -- A Modified Fuzzy Min-Max Neural Network and Its Application to Fault Classification -- AFC-ECG: An Adaptive Fuzzy ECG Classifier -- A Self-organizing Fuzzy Neural Networks -- V: Soft Computing for Modeling, Optimization and Information Processing -- A Particle Swarm Approach to Quadratic Assignment Problems -- Population-Based Incremental Learning for Multiobjective Optimisation -- Combining of Differential Evolution and Implicit Filtering Algorithm Applied to Electromagnetic Design Optimization -- A Layered Matrix Cascade Genetic Algorithm and Particle Swarm Optimization Approach to Thermal Power Generation Scheduling -- Differential Evolution for Binary Encoding -- VI: Soft Computing in Civil Engineering and Other Applications -- Prioritization of Pavement Stretches Using Fuzzy MCDM Approach – A Case Study -- A Memetic Algorithm for Water Distribution Network Design -- Neural Network Models for Air Quality Prediction: A Comparative Study -- Recessive Trait Cross over Approach of GAs Population Inheritance for Evolutionary Optimization -- Automated Prediction of Solar Flares Using Neural Networks and Sunspots Associations.
520 _aSoft Computing admits approximate reasoning, imprecision, uncertainty and partial truth in order to mimic aspects of the remarkable human capability of making decisions in real-life and ambiguous environments. "Soft Computing in Industrial Applications" contains a collection of papers that were presented at the 11th On-line World Conference on Soft Computing in Industrial Applications, held in September-October 2006. This carefully edited book provides a comprehensive overview of the recent advances in the industrial applications of soft computing and covers a wide range of application areas, including data analysis and data mining, computer graphics, intelligent control, systems, pattern recognition, classifiers, as well as modeling optimization. The book is aimed at researchers and practitioners who are engaged in developing and applying intelligent systems principles to solving real-world problems. It is also suitable as wider reading for science and engineering postgraduate students.
650 0 _aEngineering.
650 0 _aArtificial intelligence.
650 0 _aMathematics.
650 0 _aEngineering mathematics.
650 1 4 _aEngineering.
650 2 4 _aAppl.Mathematics/Computational Methods of Engineering.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aApplications of Mathematics.
700 1 _aDahal, Keshav.
_eeditor.
700 1 _aSarfraz, Muhammad.
_eeditor.
700 1 _aRoy, Rajkumar.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783540707042
830 0 _aAdvances in Soft Computing,
_x1615-3871 ;
_v39
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-540-70706-6
912 _aZDB-2-ENG
999 _c20935
_d20935