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Alternative Discrete-Time Operators and Their Application to Nonlinear. Andrew D. Back. Ah Chung Tsoi. Bill G. Horne. C. Lee Giles. January 1997. University of Maryland Institute for Advanced Computer Studies. Dept. of Computer Science, Univ. of Maryland. Laboratory for Artificial Brain Systems, Institute of Physical and. Faculty of Informatics, University of Wollongong, Australia. AADM Consulting, Califon, NJ. NEC Research Institute, Princeton, NJ.
A Delay Damage Model Selection Algorithm for NARX Neural Networks. Tsungnan Lin. C. Lee Giles. Bill G. Horne. Sun-Yang Kung. December 1996. University of Maryland Institute for Advanced Computer Studies. Dept. of Computer Science, Univ. of Maryland. NEC Research Institute. Dept. of Electrical Engineering, Princeton University.
Performance of On-Line Learning Methods in Predicting Multiprocessor. Majd F. Sakr. Steven P. Levitan. Donald M. Chiarulli. Bill G. Horne. C. Lee Giles. October 1996. University of Maryland Institute for Advanced Computer Studies. NEC Research Institute, Princeton NJ. Electrical Engineering Department, University of Pittsburgh. Computer Science Department, University of Pittsburgh. Department of Computer Science, University of Maryland.
How Embedded Memory in Recurrent Neural Network Architectures Helps. Tsungnan Lin. Bill G. Horne. C. Lee Giles. August 1996. University of Maryland Institute for Advanced Computer Studies. Dept. of Computer Science, Univ. of Maryland. NEC Research Institute. Princeton University.
Product Unit Learning. Laurens R. Leerink. C. Lee Giles. Bill G. Horne. Marwan A. Jabri. January 1996. University of Maryland Institute for Advanced Computer Studies. Dept. of Computer Science, Univ. of Maryland.
Learning Long-Term Dependencies is Not as Difficult With NARX. Tsungnan Lin. Bill G. Horne. Peter Tino. C. Lee Giles. July 1995. University of Maryland Institute for Advanced Computer Studies. Dept. of Computer Science, Univ. of Maryland.
Fixed Points in Two--Neuron Discrete Time Recurrent Networks:. Peter Tino. Bill G. Horne. C. Lee Giles. April 1995. University of Maryland Institute for Advanced Computer Studies. Dept. of Computer Science, Univ. of Maryland.
Computational Capabilities of Recurrent NARX Neural Networks. Hava T. Siegelmann. Bill G. Horne. C. Lee Giles. March 1995. University of Maryland Institute for Advanced Computer Studies. Dept. of Computer Science, Univ. of Maryland.
Peter Tino. Bill G. Horne. C. Lee Giles. Finite State Machines. January 1995. University of Maryland Institute for Advanced Computer Studies. Dept. of Computer Science, Univ. of Maryland.
C. Lee Giles. Bill G. Horne. T. Lin. August 1994. Learning a Class of Large Finite State Machines with a Recurrent. University of Maryland Institute for Advanced Computer Studies. Dept. of Computer Science, Univ. of Maryland.
Kam Jim. C. Lee Giles. Bill G. Horne. May 1994. Synaptic Noise in Dynamically-driven Recurrent Neural Networks:. University of Maryland Institute for Advanced Computer Studies. Dept. of Computer Science, Univ. of Maryland.
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