A new method to evaluate a trained artificial neural network

In comparison with traditional local sample testing methods, this paper proposes a new approach to evaluate a trained neural network. A new parameter is defined to identify the different potential roles of the individual input factors based on the trained connections of the nodes in the network. Com...

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Bibliographic Details
Main Authors: Yingjie Yang, Chris J. Hinde, D Gillingwater
Format: Default Conference proceeding
Published: 2001
Subjects:
Other information and computing sciences not elsewhere classified
Neural nets
Information and Computing Sciences not elsewhere classified
Online Access:https://hdl.handle.net/2134/4122
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network 1
neural 1

Internet

https://hdl.handle.net/2134/4122

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