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iii Theorem: Nothing is truly complicated. The mark of true intelligence is the ability to see the simplicity of all real things. My only hope is that this thesis makes a diierence. iv Acknowledgments I am deeply indebted to my Ph.D. advisor Manfred Morari for his support and guidance, and for allowing me considerable freedom in conducting this research(More)
A nonlinear neural framework, called the Generalized Hopfield Network, is proposed, which is able to solve in a parallel distributed manner systems of nonlinear equations. The method is applied to the general nonlinear optimization problem. We demonstrate GHNs implementing the three most important optimization algorithms, namely the Augmented Lagrangian,(More)
A nonlinear neural framework, called the Generalized Hopfield network, is proposed, which is able to solve in a parallel distributed manner systems of nonlinear equations. The method is applied to the general nonlinear optimization problem. We demonstrate GHNs implementing the three most important optimization algorithms, namely the Augmented Lagrangian,(More)
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