Mail Server Management with Intelligent Agents

Willow, Charles C.

doi:10.4018/9781599042657.ch014

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Clusering With Neural Network1

Nonseparable Patterns1

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(2 citation statements)

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“…Adaptive Resonance Theory (ART) is a good example of such a class. An excellent application of ART is suggested by Willow [4], [9] for a classical email server management problem.…”

Section: Clusering With Neural Networkmentioning

confidence: 99%

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Data Dimension Reduction through Linearly Separable Patterns using Neural Networks

Willow¹

2013

JIII

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Building a cellular yet effectively modular infrastructure is critical for a wide variety of systems, encompassing information, production, engineering, and even education. A general-purpose neural-network application is suggested in this paper for real-time intelligent linear separator. Classical clustering methods, techniques, and heuristics such as Hungarian algorithm, Group Technology, and BLOCPLAN have been proven to be ineffective, relative to the method outlined in this research. The effect of the development is illustrated with a simplified numerical example. 

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“…Adaptive Resonance Theory (ART) is a good example of such a class. An excellent application of ART is suggested by Willow [4], [9] for a classical email server management problem.…”

Section: Clusering With Neural Networkmentioning

confidence: 99%

“…By incorporating the suggested models of this paper into building "intelligent software agents" [4]. [9], a comprehensive Information Systems Management (ISM) may be achieved, allowing real-time network designs as well as frequent modifications to their topologies.…”

Section: Nonseparable Patternsmentioning

confidence: 99%

Data Dimension Reduction through Linearly Separable Patterns using Neural Networks

Willow¹

2013

JIII

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Mail Server Management with Intelligent Agents

Cited by 1 publication

References 0 publications

Data Dimension Reduction through Linearly Separable Patterns using Neural Networks

Data Dimension Reduction through Linearly Separable Patterns using Neural Networks

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