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Abstract. Weapon scoring has been used widely to determine the strength
of combat forces. It can also be used as a
basis to determine the strength of an individual fighting element
or fighting unit. Weapon scoring is usually done by combining
certain weapon characteristics into a formula developed to calculate the
weapon score. In this paper we use a Neural Network
to determine the weapon scores. A multilayer perceptron (MLP) network
is used as an artificial intelligence tool to assist in
scoring weapons using available weapon data. The network is trained
using available weapon scores determined using Weapon Effectiveness Indices (WEI).
By going through the procedure we are able to establish
a network that can provide a weapon score for any
type of weapon. This procedure can also be utilized to
cross validate work done by other researchers in determining weapon
score.
Related topics:
weapon scoring, firepower and protection
View first page of "Nor: Weapon Scoring Using a Multilayer Perceptron Network"
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