Genealized Constraints Neural Network Regression Model Subject to Linear Priors (GCNN-LP)

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This code is developed for incorporating a class of linear priors into the regression model. The main references are as follows: Ya-Jun Qu and Bao-Gang Hu, "Generalized Constraint Neural Network Regression Model subject to Linear Priors," IEEE Transactions on Neural Networks, Vol. 22, pp. 2447-2459, 2011. Ya-Jun Qu and Bao-Gang Hu, "A Scilab Toolbox of Nonlinear Regression Models Using A Linear Solver," OSSC-2011, Accepted on August 25, 2011.
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