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Advances in Computational Intelligence and Learning Methods and Applications

Aus der Reihe International Series in Intelligent Technologies

146,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

05.11.2012

Abbildungen

XVI, 515 p.

Herausgeber

Hans-Jürgen Zimmermann + weitere

Verlag

Springer Netherland

Seitenzahl

515

Maße (L/B/H)

23,5/15,5/2,9 cm

Gewicht

803 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-94-010-3872-0

Beschreibung

Portrait

Prof. em. Dr. Drs. h. c. Hans-Jürgen Zimmermann war bis 1999 Inhaber des Lehrstuhls für Unternehmensforschung (Operations Research) an der RWTH Aachen und ist Wissenschaftlicher Leiter der ELITE (European Laboratory for Intelligent Techniques Engineering) sowie wissenschaftlicher Beirat des Instituts für Operations Research und Management, Inform GmbH, in Aachen.

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

05.11.2012

Abbildungen

XVI, 515 p.

Herausgeber

Verlag

Springer Netherland

Seitenzahl

515

Maße (L/B/H)

23,5/15,5/2,9 cm

Gewicht

803 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-94-010-3872-0

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Advances in Computational Intelligence and Learning
  • Produktbild: Advances in Computational Intelligence and Learning
  • Accuracy and Transparency of Fuzzy Systems.- Should Tendency Assessment Precede Rule Extraction by Clustering? (No!).- A Review of Wavelet Networks, Wavenets, Fuzzy Wavenets and their Applications.- Investigating Neural Network Efficiency and Structure by Weight Investigation.- An Evaluation of Confidence Bound Estimation Methods for Neural Networks.- Compensation of Periodic Disturbances in Continuous Processing Plants by Means of a Neural Controller.- Predictive Control with Restricted Genetic Optimisation.- Adaptive Parameterization of Evolutionary Algorithms and Chaotic Populations.- Neuro-Fuzzy Systems for Rule-Based Modelling of Dynamic Processes.- Hybrid Intelligent Architectures using a Neurofuzzy Approach.- Unifying Learning with Evolution Through Baldwinian Evolution and Lamarckism.- Using An Evolutionary Strategy to Select Input Features for a Neural Network Classifier.- Advances in Machine Learning.- Symbolic and Neural Learning of Named-Entity Recognition and Classification Systems in Two Languages.- Fuzzy Model-Based Reinforcement Learning.- A Cellular Space for Feature Extraction and Classification.- A Fuzzy Approach to Taming the Bullwhip Effect.- Forecast of Short Term Trends in Stock Exchange using Fuzzy Rules and Neural Networks on Multiresolution Processed Signals.- Customer Relationship Management: A Combined Approach by Customer Segmentation and Database Marketing.- A new Vendor Evaluation Product for SAP RJ3® Systems.- About Robustness of Fuzzy Logic PD and PID Controller under Changes of Reasoning Methods.- Control of MIMO Dead Time Processes Using Fuzzy Relational Models.- Fuzzy Sliding Mode Controllers Synthesis through Genetic Optimization.- Fuzzy RED: Congestion Control for TCP/IP Diff-Serv.- The Use of Reinforcement Learning Algorithms inTraffic Control of High Speed Networks.- Fuzzy Reasoning in WCDMA Radio Resource Functions.- Odour Classification based on Computational Intelligence Techniques.- Fuzzy Rule Based System for Diagnosis of Stone Construction Cracks of Buildings.- Automated Design of Multi-Drilling Gear Machines.- Optimal Design of Alloy Steels Using Genetic Algorithms.- Intelligent Systems in Biomedicine.- Diagnosis Of Aphasia Using Neural And Fuzzy Techniques.- Gene Expression Data Mining for Functional Genomics using Fuzzy Technology.- Symbolic, Neural and Neuro-fuizy Approaches to Pattern Recognition in Cardiotocograms.- Perspectives ofComputational Intelligence.