Class: ANN Router

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Name: dan boorn <e-mail contact> Published packages: 2 Country: United States - PHP jobs in United States Home page: ??? Age: ??? All time rank: 724 Week rank: 584

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Innovation Award:

April 2006 Number 3

Finding the fastest route between two nodes of a network is a difficult problem to solve using deterministic algorithms. An alternative means to solve this problem is to use fuzzy logic solutions. One kind of fuzzy logic solution consists on training neural networks to evaluate multiple routes, and then pick the route which yields the best results after a significant training period. This class simulates a network router using neural networks to find the fastest gateway port to deliver packets to the final network destination. Despite the routing solution that is evaluated on each moment may not be necessarily the best, continued training a neural networking may not only improve the solution over time, but may also automatically solve the problems caused by temporary or permanent connectivity interruptions in other routers in the way to the destination of each packet. Manuel Lemos

Groups:

	Networking	Networking protocols, clients and servers	View top rated classes
	Algorithms	Numerical and statistical algorithms	View top rated classes
	Artificial intelligence	Automation of tasks using human-like intelligence	View top rated classes

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Files:

File	Role	Description
neuron.php	Class	ANN Router Simulation