Zhang, L. F. , Zhu, Q. and Longden, A.
A correlation-test-based validation procedure for identified neural networks.
IEEE Transactions on Neural Networks, 20 (1).
- Published Version
Publisher's URL: http://dx.doi.org/10.1109/TNN.2008.2003223
|Additional Information:||(c) 2009 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.|
|Uncontrolled Keywords:||identification, neural nets, nonlinear systems, statistical testing, correlation-test-based validation procedure, identified neural network, nonlinear systems modeling, statistical analysis, correlation functions, model validation, neural networks, nonlinear dynamical systems, residuals, algorithms, artificial intelligence, computer simulation, neural networks (computer), nonlinear dynamics, reproducibility of results|
|Faculty/Department:||Faculty of Environment and Technology > Department of Engineering Design and Mathematics|
~Pre-2010 Faculty Structure > Environment and Technology > Bristol Institute of Technology
~Pre-2012 Faculty Structure > Faculty of Environment and Technology > Department of Engineering Design and Mathematics
|Deposited On:||20 Dec 2010 13:49|
|Last Modified:||16 Mar 2013 13:45|
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