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Evolving Connectionist Systems

Overview of attention for book
Cover of 'Evolving Connectionist Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Feature Selection, Model Creation, and Model Validation
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    Chapter 2 Evolving Connectionist Methods for Unsupervised Learning
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    Chapter 3 Evolving Connectionist Methods for Supervised Learning
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    Chapter 4 Brain Inspired Evolving Connectionist Models
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    Chapter 5 Evolving Neuro-Fuzzy Inference Models
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    Chapter 6 Population-Generation-Based Methods: Evolutionary Computation
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    Chapter 7 Evolving Integrated Multimodel Systems
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    Chapter 8 Adaptive Modelling and Knowledge Discovery in Bioinformatics
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    Chapter 9 Dynamic Modelling of Brain Functions and Cognitive Processes
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    Chapter 10 Modelling the Emergence of Acoustic Segments in Spoken Languages
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    Chapter 11 Evolving Intelligent Systems for Adaptive Speech Recognition
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    Chapter 12 Evolving Intelligent Systems for Adaptive Image Processing
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    Chapter 13 Evolving Intelligent Systems for Adaptive Multimodal Information Processing
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    Chapter 14 Evolving Intelligent Systems for Robotics and Decision Support
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    Chapter 15 What Is Next: Quantum Inspired Evolving Intelligent Systems?
Attention for Chapter 11: Evolving Intelligent Systems for Adaptive Speech Recognition
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Citations

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Chapter title
Evolving Intelligent Systems for Adaptive Speech Recognition
Chapter number 11
Book title
Evolving Connectionist Systems
Published by
Springer, London, January 2007
DOI 10.1007/978-1-84628-347-5_11
Book ISBNs
978-1-84628-345-1, 978-1-84628-347-5
View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 50%
Student > Postgraduate 1 50%
Readers by discipline Count As %
Computer Science 2 100%

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