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Rough-Neural Computing

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Cover of 'Rough-Neural Computing'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Elementary Rough Set Granules: Toward a Rough Set Processor
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    Chapter 2 Rough-Neural Computing: An Introduction
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    Chapter 3 Information Granules and Rough-Neural Computing
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    Chapter 4 A Rough-Neural Computation Model Based on Rough Mereology
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    Chapter 5 Knowledge-Based Networking in Granular Worlds
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    Chapter 6 Adaptive Aspects of Combining Approximation Spaces
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    Chapter 7 Algebras from Rough Sets
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    Chapter 8 Approximation Transducers and Trees: A Technique for Combining Rough and Crisp Knowledge
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    Chapter 9 Using Contextually Closed Queries for Local Closed-World Reasoning in Rough Knowledge Databases
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    Chapter 10 On Model Evaluation, Indexes of Importance, and Interaction Values in Rough Set Analysis
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    Chapter 11 New Fuzzy Rough Sets Based on Certainty Qualification
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    Chapter 12 Toward Rough Datalog: Embedding Rough Sets in Prolog
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    Chapter 13 On Exploring Soft Discretization of Continuous Attributes
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    Chapter 14 Rough-SOM with Fuzzy Discretization
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    Chapter 15 Biomedical Inference: A Semantic Model
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    Chapter 16 Fundamental Mathematical Notions of the Theory of Socially Embedded Games: A Granular Computing Perspective
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    Chapter 17 Fuzzy Games and Equilibria: The Perspective of the General Theory of Games on Nash and Normative Equilibria
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    Chapter 18 Rough Neurons: Petri Net Models and Applications
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    Chapter 19 Information Granulation and Approximation in a Decision-Theoretical Model of Rough Sets
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    Chapter 20 Intelligent Acquisition of Audio Signals, Employing Neural Networks and Rough Set Algorithms
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    Chapter 21 An Approach to Imbalanced Data Sets Based on Changing Rule Strength
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    Chapter 22 Rough-Neural Approach to Testing the Influence of Visual Cues on Surround Sound Perception
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    Chapter 23 Handwritten Digit Recognition Using Adaptive Classifier Construction Techniques
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    Chapter 24 From Rough through Fuzzy to Crisp Concepts: Case Study on Image Color Temperature Description
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    Chapter 25 Information Granulation and Pattern Recognition
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    Chapter 26 Computational Analysis of Acquired Dyslexia of Kanji Characters Based on Conventional and Rough Neural Networks
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    Chapter 27 WaRS: A Method for Signal Classification
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    Chapter 28 A Hybrid Model for Rule Discovery in Data
Attention for Chapter 12: Toward Rough Datalog: Embedding Rough Sets in Prolog
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Chapter title
Toward Rough Datalog: Embedding Rough Sets in Prolog
Chapter number 12
Book title
Rough-Neural Computing
Published in
Cognitive Technologies, January 2016
DOI 10.1007/978-3-642-18859-6_12
Book ISBNs
978-3-64-262328-8, 978-3-64-218859-6
Authors

Jan Małuszyński, Aida Vitória

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 Attention Score in Context

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This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 November 2013.
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#23,324,704
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