Artificial intelligence

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ISSN 2710-1673

ONLINE: ISSN 2710-1681

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Нейромережна одорологічна експертиза як об’єктивний спосіб митного контролю

Aleshin S.1, Ljahov A.1
1 Poltava National Technical University named after Yuri Kondratyuk

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UDC: 57.007; 004.8.032.26
Publication Language: Russian
Stuc. intelekt. 2011; 16(3):514-520

Abstract: The paper proposed the method of combined use of biosensor abilities of dogs and trained neural networks to detect dangerous objects at customs control of cargo and baggage terminals. The approach is based on simultaneous training of dogs and artificial neural network, which allows the use of animals like biosensors, and neural networks as a tool for decision-making. This will improve the objectivity and reliability of assessment at the moderate material and financial costs. The technique of constructing models of recognition and decision-making model to identify objects in a neural environment of standard emulators with the format Statistika Neural Network are given.

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