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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Paper Title: Adaptive Neural Image Prediction System for Classification of Sediments
Authors Name: Snehal Ganesh Bhegade , S.S. Palnitkar
Unique Id: IJSDR1702007
Published In: Volume 2 Issue 2, February-2017
Abstract: Sediments classification is required to have the detailed knowledge about sedimentation on the seafloor, river bed, canals, near dam walls etc. Acoustic based systems are recently used for classification of sediments. Most commonly used approach in sediments classification on seafloor or on riverbed are very expensive as this requires dedicated ships, lengthy measurements, dedicated equipment and a labour intensive analysis afterwards. The proposed system uses sediment images as input and adaptive neural prediction system for identifying the type of sediment. The sediments can be classified based on their grain size into different categories such as mud, sand, gravel. The proposed system uses visual properties for classification this makes adaptive algorithm easier to learn and reduces processing time.
Keywords: Adaptive neural prediction system, Artificial Neural Network (ANN), sediment classification.
Cite Article: "Adaptive Neural Image Prediction System for Classification of Sediments ", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.2, Issue 2, page no.25 - 28, February-2017, Available :http://www.ijsdr.org/papers/IJSDR1702007.pdf
Downloads: 000223214
Publication Details: Published Paper ID: IJSDR1702007
Registration ID:170030
Published In: Volume 2 Issue 2, February-2017
DOI (Digital Object Identifier):
Page No: 25 - 28
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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