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Maximum likelihood identification of neural point process systems

✍ Scribed by E. S. Chornoboy; L. P. Schramm; A. F. Karr


Publisher
Springer-Verlag
Year
1988
Tongue
English
Weight
1007 KB
Volume
59
Category
Article
ISSN
0340-1200

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The maximum likelihood method of identification is a powerful tool for obtaining mathematical models of dynamic processes. To apply this method a loss function has to be minimized. The aim of the paper is an investigation of the local minimum points of this loss function for a common structure of a