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 utilised to cross validate work done by other researchers in determining weapon score.