- Recurrent methods- Boltzmann machines- Constructive learning with methods for the reduction of complexity in neural network systems- Modular systems- Associative memory- Neural network design based on the concept of the Inductive Logic Unit- Data classification- Integrated neuron model systems that function as programmable rational approximators
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Cornelius T. Leondes received his B.S., M.S., and Ph.D. from the University of Pennsylvania and has held numerous positions in industrial and academic institutions. He is currently a Professor Emeritus at the University of California, Los Angeles. He has also served as the Boeing Professor at the University of Washington and as an adjunct professor at the University of California, San Diego. He is the author, editor, or co-author of more than 100 textbooks and handbooks and has published more than 200 technical papers. In addition, he has been a Guggenheim Fellow, Fulbright Research Scholar, IEEE Fellow, and a recipient of IEEE's Baker Prize Award and Barry Carlton Award.