GENERATING DISRUPTIVE PATTERN MATERIALS

A method for training a machine learning model includes obtaining camouflage material data. The method includes obtaining environmental data. The method also includes generating the machine learning model based on the camouflage material data and the environmental data. The method includes generatin...

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Bibliographische Detailangaben
Hauptverfasser:	Kinsman, Garrett Edward, Benoliel, Micha Anthenor
Format:	Patent
Sprache:	eng
Schlagworte:	ARMOUR ARMOURED OR ARMED VEHICLES ARMOURED TURRETS BLASTING CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING HEATING LIGHTING MEANS OF ATTACK OR DEFENCE, e.g. CAMOUFLAGE, IN GENERAL MECHANICAL ENGINEERING PHYSICS WEAPONS
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Beschreibung
Zusammenfassung:	A method for training a machine learning model includes obtaining camouflage material data. The method includes obtaining environmental data. The method also includes generating the machine learning model based on the camouflage material data and the environmental data. The method includes generating a plurality of camouflage patterns based on the machine learning model. The method includes assigning a rank to each of the camouflage patterns. The method further includes training the machine learning model with a camouflage pattern assigned with a highest rank.