Neural Networks Based Intelligent Synthetic Method and its Applications in Equipment Evaluation

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Abstract:

The equipment evaluation is one of the key components of asset evaluation, whose newness rate is the important and essential part of the evaluation process. This paper analyses the traditional methods as well as the synthetic method, which is greatly improved by drawing neural networks technology into it.

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Periodical:

Advanced Materials Research (Volumes 562-564)

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833-837

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Online since:

August 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] Kong Qinghua, Guan Xiaohong, Li Yongmao. Assests Evaluation Theory and Review[M]. Beijing:Chinese Science and Technology Press, (2003).

Google Scholar

[2] Jin Fan. Foundations & Application of Neural Networks and Neural Compute[M]. Cheng Du: Southwest Communication University Press, (2007).

Google Scholar

[3] Li Shupei. Petroleum Manufacturing Craft[M]. Beijing:Chinese Petrochemical Press, (2008).

Google Scholar

[4] Department of Evaluation of Liaohe Accountant Office. On the Method of Evaluation of Equipment[J]. Assets Evaluation in Liaoning, 2008, (5): 25-30.

Google Scholar

[5] Aleksander I, Morton H. An Introduction to Neural Computing[M]. LondonONDON: International Thomson Computer Press, (1995).

Google Scholar

[6] Dayhoff J E. Neural Network Architectures: an Introduction[M]. London: International Thomson Computer Press, (1996).

Google Scholar