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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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Title
Artificial Neural Network Modelling
Published by
Springer International Publishing, 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

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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.
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%