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Engineering Applications of Neural Networks

Overview of attention for book
Cover of 'Engineering Applications of Neural Networks'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Intelligent Agents Networks Employing Hybrid Reasoning: Application in Air Quality Monitoring and Improvement
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    Chapter 2 Neural Network Based Damage Detection of Dynamically Loaded Structures
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    Chapter 3 Engineering Applications of Neural Networks
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    Chapter 4 Municipal Creditworthiness Modelling by Kernel-Based Approaches with Supervised and Semi-supervised Learning
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    Chapter 5 Clustering of Pressure Fluctuation Data Using Self-Organizing Map
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    Chapter 6 Intelligent Fuzzy Reasoning for Flood Risk Estimation in River Evros
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    Chapter 7 Fuzzy Logic and Artificial Neural Networks for Advanced Authentication Using Soft Biometric Data
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    Chapter 8 Study of Alpha Peak Fitting by Techniques Based on Neural Networks
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    Chapter 9 Information Enhancement Learning: Local Enhanced Information to Detect the Importance of Input Variables in Competitive Learning
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    Chapter 10 Flash Flood Forecasting by Statistical Learning in the Absence of Rainfall Forecast: A Case Study
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    Chapter 11 An Improved Algorithm for SVMs Classification of Imbalanced Data Sets
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    Chapter 12 Visualization of MIMO Process Dynamics Using Local Dynamic Modelling with Self Organizing Maps
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    Chapter 13 Data Visualisation and Exploration with Prior Knowledge
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    Chapter 14 Reducing Urban Concentration Using a Neural Network Model
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    Chapter 15 Dissimilarity-Based Classification of Multidimensional Signals by Conjoint Elastic Matching: Application to Phytoplanktonic Species Recognition
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    Chapter 16 Revealing the Structure of Childhood Abdominal Pain Data and Supporting Diagnostic Decision Making
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    Chapter 17 Relating Halftone Dot Quality to Paper Surface Topography
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    Chapter 18 Combining GRN Modeling and Demonstration-Based Programming for Robot Control
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    Chapter 19 Discriminating Angry, Happy and Neutral Facial Expression: A Comparison of Computational Models
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    Chapter 20 Modeling and Forecasting CAT and HDD Indices for Weather Derivative Pricing
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    Chapter 21 Using the Support Vector Machine as a Classification Method for Software Defect Prediction with Static Code Metrics
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    Chapter 22 Adaptive Electrical Signal Post-processing with Varying Representations in Optical Communication Systems
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    Chapter 23 Using of Artificial Neural Networks (ANN) for Aircraft Motion Parameters Identification
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    Chapter 24 Ellipse Support Vector Data Description
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    Chapter 25 Enhanced Radial Basis Function Neural Network Design Using Parallel Evolutionary Algorithms
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    Chapter 26 New Aspects of the Elastic Net Algorithm for Cluster Analysis
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    Chapter 27 Neural Networks for Forecasting in a Multi-skill Call Centre
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    Chapter 28 Relational Reinforcement Learning Applied to Appearance-Based Object Recognition
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    Chapter 29 Sensitivity Analysis of Forest Fire Risk Factors and Development of a Corresponding Fuzzy Inference System: The Case of Greece
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    Chapter 30 Nonmonotone Learning of Recurrent Neural Networks in Symbolic Sequence Processing Applications
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    Chapter 31 Indirect Adaptive Control Using Hopfield-Based Dynamic Neural Network for SISO Nonlinear Systems
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    Chapter 32 A Neural Network Computational Model of Visual Selective Attention
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    Chapter 33 Simulation of Large Spiking Neural Networks on Distributed Architectures, The “DAMNED” Simulator
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    Chapter 34 A Neural Network Model for the Critical Frequency of the F2 Ionospheric Layer over Cyprus
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    Chapter 35 Dictionary-Based Classification Models. Applications for Multichannel Neural Activity Analysis
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    Chapter 36 Pareto-Based Multi-output Metamodeling with Active Learning
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    Chapter 37 Isolating Stock Prices Variation with Neural Networks
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    Chapter 38 Evolutionary Ranking on Multiple Word Correction Algorithms Using Neural Network Approach
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    Chapter 39 Application of Neural Fuzzy Controller for Streaming Video over IEEE 802.15.1
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    Chapter 40 Tracking of the Plasma States in a Nuclear Fusion Device Using SOMs
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    Chapter 41 An Application of the Occam Factor to Model Order Determination
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    Chapter 42 Use of Data Mining Techniques for Improved Detection of Breast Cancer with Biofield Diagnostic System
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    Chapter 43 Clustering of Entropy Topography in Epileptic Electroencephalography
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    Chapter 44 Riverflow Prediction with Artificial Neural Networks
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    Chapter 45 Applying Snap-Drift Neural Network to Trajectory Data to Identify Road Types: Assessing the Effect of Trajectory Variability
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    Chapter 46 Reputation Prediction in Mobile Ad Hoc Networks Using RBF Neural Networks
Overall attention for this book and its chapters
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

patent
1 patent
facebook
1 Facebook page

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
3 Mendeley
Summary Patents Facebook Dimensions citations
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Engineering Applications of Neural Networks
Published by
ADS, August 2009
DOI 10.1007/978-3-642-03969-0
ISBNs
978-3-64-203968-3, 978-3-64-203969-0
Editors

Palmer-Brown, Dominic, Draganova, Chrisina, Pimenidis, Elias, Mouratidis, Haris

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 1 33%
Unknown 2 67%
Readers by discipline Count As %
Computer Science 1 33%
Unknown 2 67%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 17 April 2014.
All research outputs
#7,306,228
of 23,041,514 outputs
Outputs from ADS
#9,065
of 37,451 outputs
Outputs of similar age
#35,867
of 107,655 outputs
Outputs of similar age from ADS
#114
of 396 outputs
Altmetric has tracked 23,041,514 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 37,451 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 75% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 107,655 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 396 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.

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