期刊
XXV POLISH - RUSSIAN - SLOVAK SEMINAR -THEORETICAL FOUNDATION OF CIVIL ENGINEERING
卷 153, 期 -, 页码 66-70出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.proeng.2016.08.081
关键词
input data standardization; artificial neural networks ANN; building contracts completion date predicting
Achieving good results in applying artificial neural networks (ANN) in predicting requires some preparatory works on the set of data. One of them is standardization which is necessary when nonlinear activation function is applied. Basing on predicting completion period of building contracts by multi-layer ANN with error backpropagation algorithm, six different methods of input data standardization were checked in order to determine which allows to achieve the most accurate predictions. (C) 2016 The Authors. Published by Elsevier Ltd.
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