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Application of artificial neural networks to intelligent weighing systems

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2 Author(s)
Almodarresi Yasin, S.M.T. ; Dept. of Electron. & Comput. Sci., Southampton Univ., UK ; White, N.M.

The authors present a new method for dynamic weighing, using a feature extractor and two-layer artificial neural network capable of predicting the final value of the sensor response in a noisy environment while it is still in oscillation. The method permits arbitrary input and initial conditions and requires no restriction on the order of the sensor. Introducing a pre-processor as a feature extraction block before the neural network dramatically reduces the required number of neurones. This, in turn, reduces the complexity of computation and offers the possibility of real-time procedures for dynamic force measurements. The proposed method is established by theoretical analysis and justified by means of both simulation and real data measurements

Published in:

Science, Measurement and Technology, IEE Proceedings -  (Volume:146 ,  Issue: 6 )

Date of Publication:

Nov 1999

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