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ANN Router: Simulate routing decision using neural networks

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Picture of dan boorn
Name: dan boorn <contact>
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Country: United States United States
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This class can be used to simulate the decision of routing packets of information to reach a given network destination.

It trains a neural network to be able to determine which of the available outbound ports on a network origin node can deliver information packets faster to a given network destination node.

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Name: ANN Router
Base name: annrouter
Description: Simulate routing decision using neural networks
Version: -
PHP version: -
License: GNU Free Documentation License (FDL)
All time users: 2979 users
All time rank: 1129
Week users: 5 users
Week rank: 310 Up
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Group folder image Networking Networking protocols, clients and servers View top rated classes
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  Innovation Award  
PHP Programming Innovation award nominee
April 2006
Number 3

Prize: One book of choice by O'Reilly
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

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Plain text file neuron.php Class ANN Router Simulation

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