Application of Neural Networks for Predictive and Control Purposes

B. Schürmann
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B. Schürmann: Siemens AG, Corporate Technology, Information and Communications

A chapter in Traffic and Granular Flow ’99, 2000, pp 181-192 from Springer

Abstract: Abstract For a company to stay competitive, providing “intelligent” application solutions, services and products to its customers is indispensable. For example, forthcoming telematics applications require technologies like adaptive control, model building by learning, and focusing attention on relevant features. Neural Networks offer appropriate architectures for these purposes. This contribution gives an overview on activities at Siemens Corporate Research using Neural Networks for prediction and control purposes.

Keywords: Neural Network; Feedforward Neural Network; Recurrent Neural Network; Excess Return; Capital Asset Price Model (search for similar items in EconPapers)
Date: 2000
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-59751-0_17

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DOI: 10.1007/978-3-642-59751-0_17

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