Analysis and implementation of radial basis function neural network for controlling non-linear dynamical systems
Modelling and control of non-linear systems are not easy, which are now being solved by the application of neural networks. Neural networks have been proved to solve these problems as they are described by adjustable parameters which are readily adaptable online. Many types of neural networks have b...
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University of Newcastle upon Tyne
1998
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| Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.262888 |