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Virtual sensors (VS) allow measurement of process parameters where direct measurement is too expensive or even not possible. For the virtual sensors which build their internal process model after the data-driven method, e.g. by use of an artificial neural network (ANN), there is a problem of the evaluation of the prediction performance. The up to date solutions solve this problem only partially and...
To solve the problem that water quality of sewage disposal process (such as BOD) is difficulty to measure on-line, meanwhile considering the characteristics of sewage disposal process which is related with time. A soft sensor method for water quality of swage disposal based on process neural network (PNN) was proposed in this paper. On the basis of learning algorithm based on orthogonal function basis...
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