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Book synopsis

In analysis with ANN many times noisy data which is non-stationary comes into consideration for time series prediction. This book goes into different data pre-processing techniques and how these actually help in increasing the prediction accuracy of Artificial Neural Networks. The choice of the correct configuration of an ANN is a non trivial task and the results obtained are verified by applying various criteria and interchanging of experimental and test sets and randomizing so that these are applicable in extreme circumstances.

Book details

• Full title: Data Pre-processing Methods and their impact on ANN
• Author: Aniruddha Banhatti
• Language: English
• Binding: Paperback
• Number of pages: 200
• EAN: 9783330069541
• ISBN: 3330069546
• ID: 16300776
• Publisher: LAP Lambert Academic Publishing
• Weight: 314 g
• Dimensions: 220 × 150 × 12 mm
• Date of publishing: 06. May 2017

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