31 resultados para Increasing Processes with Independent Increments


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2000 Mathematics Subject Classification: 60J80, 62M05

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2000 Mathematics Subject Classification: 60J80, 60F05

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2010 Mathematics Subject Classification: 60J80.

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2010 Mathematics Subject Classification: 60J80.

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This work is supported by Bulgarian NFSI, grant No. MM–704/97

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2000 Mathematics Subject Classification: 60J80.

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2000 Mathematics Subject Classification: 60J80, 60F05

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The paper is a contribution to the theory of branching processes with discrete time and a general phase space in the sense of [2]. We characterize the class of regular, i.e. in a sense sufficiently random, branching processes (Φk) k∈Z by almost sure properties of their realizations without making any assumptions about stationarity or existence of moments. This enables us to classify the clans of (Φk) into the regular part and the completely non-regular part. It turns out that the completely non-regular branching processes are built up from single-line processes, whereas the regular ones are mixtures of left-tail trivial processes with a Poisson family structure.

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2000 MSC: 26A33, 33E12, 33E20, 44A10, 44A35, 60G50, 60J05, 60K05.

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2000 Mathematics Subject Classification: 60J80

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2000 Mathematics Subject Classification: primary: 60J80, 60J85, secondary: 62M09, 92D40

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This paper aims at development of procedures and algorithms for application of artificial intelligence tools to acquire process and analyze various types of knowledge. The proposed environment integrates techniques of knowledge and decision process modeling such as neural networks and fuzzy logic-based reasoning methods. The problem of an identification of complex processes with the use of neuro-fuzzy systems is solved. The proposed classifier has been successfully applied for building one decision support systems for solving managerial problem.

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The problem of multi-agent routing in static telecommunication networks with fixed configuration is considered. The problem is formulated in two ways: for centralized routing schema with the coordinator-agent (global routing) and for distributed routing schema with independent agents (local routing). For both schemas appropriate Hopfield neural networks (HNN) are constructed.

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Mathematics Subject Classification: 26A33, 45K05, 60J60, 60G50, 65N06, 80-99.

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MSC 2010: 34A08 (main), 34G20, 80A25