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115 results on '"Ricciardi, L. M."'

102. Random matrices and neural networks

Author

Luca, A., Ricciardi, L. M., and Vasudevan, R.

Abstract

In connection with some problems that arise in the study of neural networks random matrices are considered and the probability for them to have certain rank is investigated. Two models are studied in a simple-minded approach to problems of this type.

Published
1970
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107. On a class of discrete models for regulated growth with intrinsic lower bounds

Author

Nobile, A. G., Ricciardi, L. M., Sacerdote, Laura Lea, R. TRAPPL, A. G., Nobile, Ricciardi, LUIGI MARIA, and L., Sacerdote

Abstract

First order nonlinear difference equations are formulated to model population growth processes characterized by discrete nonoverlapping generations. This is done by discretizing differential equations possessing intrinsic lower bounds to population size. A detailed study of the behavior of their solutions is then performed by proving some theorems holding for a wider class of diffence equations.

Published
1984

111. Stochastic population models with interacting species

Author

Di Crescenzo, A., Virginia Giorno, Nobile, A. G., Ricciardi, L. M., A., DI CRESCENZO, V., Giorno, A. G., Nobile, and Ricciardi, LUIGI MARIA

Subjects
Competitive Behavior, Stochastic Processes, Species competition, Stochastic model, Population model, Population Dynamics, Animals, Numerical Analysis, Computer-Assisted, Mathematical Computing, Models, Biological, Demography
Abstract

A stochastic model concerning the evolution of a multi-species population is presented assuming species competition for a habitat. The model takes into account colonization, death and replacement for all individuals. Two cases are treated: (i) colonizations follow the hierarchic rule by which species of lower rank are always outcompeted by those of higher rank and (ii) there are no privileged species. In both cases, under suitable assumptions, a thorough description of the evolution of the population is obtained. The two models are finally compared and the corresponding evolutionary behaviors of the populations are discussed.

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