↓ Skip to main content
What is this page? Embed badge

Artificial Neural Network Modelling

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

Table of Contents

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

Mentioned by

twitter
2 X users

Citations

dimensions_citation
114 Dimensions

Readers on

mendeley
14 Mendeley
Summary X 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.
Chapter title
Artificial Neural Networks as Models of Robustness in Development and Regeneration: Stability of Memory During Morphological Remodeling
Chapter number 3
Book title
Artificial Neural Network Modelling
Published in
Studies in Computational Intelligence, February 2016
DOI 10.1007/978-3-319-28495-8_3
Book ISBNs
978-3-31-928493-4, 978-3-31-928495-8
Authors

Jennifer Hammelman, Daniel Lobo, Michael Levin

Editors

Subana Shanmuganathan, Sandhya Samarasinghe

View on publisher site
X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 29%
Student > Ph. D. Student 2 14%
Student > Bachelor 2 14%
Student > Master 1 7%
Unknown 5 36%
Readers by discipline Count As %
Engineering 3 21%
Agricultural and Biological Sciences 2 14%
Biochemistry, Genetics and Molecular Biology 1 7%
Business, Management and Accounting 1 7%
Psychology 1 7%
Other 1 7%
Unknown 5 36%
Attention Score in Context

Attention Score in Context

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 20 May 2021.
All research outputs
#17,732,227
of 25,992,468 outputs
Outputs from Studies in Computational Intelligence
#1
of 1 outputs
Outputs of similar age
#250,041
of 408,447 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. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 1.0. 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 408,447 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
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

This page is provided by Altmetric.