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Partial least-squares regression neural network (PLSNET) with supervised adaptive modular learning
We present in this paper an adaptive linear neural network architecture called PLSNET. This network is based on partial least-squares (PLS) regression. The architecture is a modular network with stages that are associated ...
Neural network architecture for solving the algebraic matrix Riccati equation
This paper presents a neurocomputing approach for solving the algebraic matrix Riccati equation. This approach is able to utilize a good initial condition to reduce the computation time in comparison to standard methods ...