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Artificial Neural Network Modelling

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Cover of 'Artificial Neural Network Modelling'

Table of Contents

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    Book Overview
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    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
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Chapter title
Artificial Neural Network Modelling: An Introduction
Chapter number 1
Book title
Artificial Neural Network Modelling
Published by
Springer International Publishing, February 2016
DOI 10.1007/978-3-319-28495-8_1
Book ISBNs
978-3-31-928493-4, 978-3-31-928495-8
Authors

Subana Shanmuganathan

Editors

Subana Shanmuganathan, Sandhya Samarasinghe

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X Demographics

The data shown below were collected from the profile of 1 X user 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 315 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 315 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 43 14%
Researcher 27 9%
Student > Ph. D. Student 27 9%
Student > Bachelor 27 9%
Lecturer 12 4%
Other 42 13%
Unknown 137 43%
Readers by discipline Count As %
Engineering 58 18%
Computer Science 34 11%
Agricultural and Biological Sciences 7 2%
Earth and Planetary Sciences 6 2%
Physics and Astronomy 6 2%
Other 50 16%
Unknown 154 49%