Experiment design considerations for non-linear system identification using neural networks

S.K. Doherty; J.B. Gomm; David Williams

doi:10.1016/s0098-1354(96)00003-8

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Experiment design considerations for non-linear system identification using neural networks

S.K. Doherty J.B. Gomm David Williams

Year: 1997 Journal: Computers & Chemical Engineering Vol: 21 (3)Pages: 327-346 Publisher: Elsevier BV

DOI: 10.1016/s0098-1354(96)00003-8

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Keywords:

Artificial neural network Identification (biology) Process (computing) System identification Computer science Design of experiments Artificial intelligence Range (aeronautics) Machine learning Multilayer perceptron Data mining Engineering Mathematics Statistics

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Fault Detection and Control Systems

Physical Sciences → Engineering → Control and Systems Engineering

Neural Networks and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Control Systems and Identification

Physical Sciences → Engineering → Control and Systems Engineering

Experiment design considerations for non-linear system identification using neural networks

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