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|Title:||Building robot voice control training methodology using artificial neural net|
|Citation:||Matarneh R., Maksymova S., Deineko Z., Lyashenko V. Building Robot Voice Control Training Methodology Using Artificial Neural Net // International Journal of Civil Engineering and Technology. – 2017. – Vol. 8(10). – P. 523–532.|
|Abstract:||The article describes using artificial neural net for speech recognition. This is necessary for the automation of construction work. We selected multi-layer perceptron for separate words recognition tasks. We researcheddifferent forms of hidden layer. And we made a conclusion that for voice commands analysis tasks solution it is expedient to use multi-layer perceptron with linearized functions (the best result was achieved using model with hidden layer with linearized hyperbolic tangent function). We use this experience to train robots in civil engineering.|
|Appears in Collections:||Кафедра інформатики (ІНФ)|
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