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ORCIDANNA 1991: Fairfax, VA, USA
- Larry K. Barrett:
Proceedings of the Conference on Analysis of Neural Network Applications, ANNA 1991, May 29-31, 1991, Fairfax, VA, USA. ACM 1991, ISBN 0-89791-432-5 - Ted Frison, S. Walt McCandless, Robert Renze:
Synthetic Aperture Radar Image Formation With Neural Networks. 6-13 - Ryotaro Kamimura:
Application of the Recurrent Neural Network to the Problem of Language Acquisition. 14-28 - Cathy H. Wu
, Tzx-Chung Chang:
Protein Classification Using a Neural Network Database System. 29-41 - Paul S. Prueitt, Robert M. Craig:
The Object-Oriented Paradigm and Neurocomputing. 42-59 - Bo Jin, Ali R. Hurson, Les L. Miller:
Neural Network-Based Decision Support for Incomplete Database Systems: Knowledge Acquisition and Performance Analysis. 62-75 - Craig Harston:
Spacial Classification and Multi-Spectral Fusion with Neural Networks. 76-82 - Michael J. Piovoso, Aaron J. Owens:
Neural Network Process Control. 84-94 - Oluseyi Olurotimi:
A Discrete-Time Neural Network Multitarget Tracking Data Association Algorithm. 96-109 - Mohamad T. Musavi, K. B. Faris, Khue Hiang Chan, Wahid Ahmed:
On the Implementation of RBF Technique in Neural Networks. 110-115 - Sridhar Narayan, Edward W. Page, Gene A. Tagliarini:
Radiographic Image Compression: A Neural Approach. 116-122 - R. S. Baxter:
Supervised Adaptive Resonance Networks. 123-137 - Edward A. Rietman, Robert C. Frye:
Neural Control of a Nonlinear System with Inherent Time Delays. 140-145 - Judith E. Dayhoff:
Pattern Recognition with a Pulsed Neural Network. 146-159 - Michael D. Garris, R. A. Wilkinson, Charles L. Wilson:
Analysis of a Biologically Motivated Neural Network for Character Recognition. 160-175 - James P. Coughlin, Robert H. Baran:
Optimization in Cascaded Boltzmann Machines with a Temperature Gradient: An Alternative to Simulated Annealing. 176-184 - Robert H. Baran, James P. Coughlin:
A Neural Network for Target Classification Using Passive Sonar. 188-198 - Robert L. Stites, Bryan Ward, Robert V. Walters:
Defect Prediction with Neural Networks. 199-206
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