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Artificial Neural Network Modelling

Overview of attention for book
Cover of 'Artificial Neural Network Modelling'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Artificial Neural Network Modelling: An Introduction
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    Chapter 2 Artificial Neural Network Modelling
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    Chapter 3 Artificial Neural Networks as Models of Robustness in Development and Regeneration: Stability of Memory During Morphological Remodeling
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    Chapter 4 A Structure Optimization Algorithm of Neural Networks for Pattern Learning from Educational Data
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    Chapter 5 Artificial Neural Network Modelling
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    Chapter 6 Curvelet Interaction with Artificial Neural Networks
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    Chapter 7 Hybrid Wavelet Neural Network Approach
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    Chapter 8 Quantification of Prediction Uncertainty in Artificial Neural Network Models
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    Chapter 9 Classifying Calpain Inhibitors for the Treatment of Cataracts: A Self Organising Map (SOM) ANN/KM Approach in Drug Discovery
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    Chapter 10 Artificial Neural Network Modelling
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    Chapter 11 SOM Clustering and Modelling of Australian Railway Drivers’ Sleep, Wake, Duty Profiles
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    Chapter 12 A Neural Approach to Electricity Demand Forecasting
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    Chapter 13 Development of Artificial Intelligence Based Regional Flood Estimation Techniques for Eastern Australia
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    Chapter 14 Artificial Neural Networks in Precipitation Nowcasting: An Australian Case Study
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    Chapter 15 Construction of PMx Concentration Surfaces Using Neural Evolutionary Fuzzy Models of Type Semi Physical Class
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    Chapter 16 Application of Artificial Neural Network in Social Media Data Analysis: A Case of Lodging Business in Philadelphia
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    Chapter 17 Sentiment Analysis on Morphologically Rich Languages: An Artificial Neural Network (ANN) Approach
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    Chapter 18 Predicting Stock Price Movements with News Sentiment: An Artificial Neural Network Approach
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    Chapter 19 Modelling Mode Choice of Individual in Linked Trips with Artificial Neural Networks and Fuzzy Representation
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    Chapter 20 Artificial Neural Network (ANN) Pricing Model for Natural Rubber Products Based on Climate Dependencies
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    Chapter 21 A Hybrid Artificial Neural Network (ANN) Approach to Spatial and Non-spatial Attribute Data Mining: A Case Study Experience
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)

Mentioned by

news
1 news outlet
twitter
8 X users

Readers on

mendeley
129 Mendeley
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Title
Artificial Neural Network Modelling
Published by
Studies in Computational Intelligence, January 2016
DOI 10.1007/978-3-319-28495-8
ISBNs
978-3-31-928493-4, 978-3-31-928495-8
Editors

Subana Shanmuganathan, Sandhya Samarasinghe

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 129 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 129 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 3%
Student > Ph. D. Student 3 2%
Student > Bachelor 3 2%
Professor > Associate Professor 2 2%
Student > Doctoral Student 1 <1%
Other 1 <1%
Unknown 115 89%
Readers by discipline Count As %
Computer Science 3 2%
Business, Management and Accounting 2 2%
Economics, Econometrics and Finance 2 2%
Biochemistry, Genetics and Molecular Biology 1 <1%
Nursing and Health Professions 1 <1%
Other 4 3%
Unknown 116 90%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 20 May 2021.
All research outputs
#2,123,120
of 25,992,468 outputs
Outputs from Studies in Computational Intelligence
#1
of 1 outputs
Outputs of similar age
#34,544
of 402,374 outputs
Outputs of similar age from Studies in Computational Intelligence
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.4. This one scored the same or higher as 0 of them.
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 402,374 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them