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  • Neural networks are used in various applications such as signal modelling, prediction or pattern recognition, however, they are still rarely used for the purposes which stood beside the original motivation of the concept of their development; the inspiration for the design of the artificial neural networks was an attempts to imitate the functions of the biological neuron. The growth of computational power in connection with the increasing knowledge of the biological neural cell makes viable the original idea of using the neural networks for fast decision making and recognition of situations in similar way to the humans. Several research centres throughout the whole world are now carrying out the task of accurate brain simulation. Despite the complexity of this assignment and the unprobability of meeting it during the next years, the work on such simulations can improve the knowledge of brain functions which can lead to many practical applications that can improve the transport safety and effectivity by helping the human operator. The improvement proposed in this article can increase the quality of modelling and simulation.
  • Neural networks are used in various applications such as signal modelling, prediction or pattern recognition, however, they are still rarely used for the purposes which stood beside the original motivation of the concept of their development; the inspiration for the design of the artificial neural networks was an attempts to imitate the functions of the biological neuron. The growth of computational power in connection with the increasing knowledge of the biological neural cell makes viable the original idea of using the neural networks for fast decision making and recognition of situations in similar way to the humans. Several research centres throughout the whole world are now carrying out the task of accurate brain simulation. Despite the complexity of this assignment and the unprobability of meeting it during the next years, the work on such simulations can improve the knowledge of brain functions which can lead to many practical applications that can improve the transport safety and effectivity by helping the human operator. The improvement proposed in this article can increase the quality of modelling and simulation. (en)
Title
  • Artificial Neural Networks for Models of Driver´s Brain Functions
  • Artificial Neural Networks for Models of Driver´s Brain Functions (en)
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  • Artificial Neural Networks for Models of Driver´s Brain Functions
  • Artificial Neural Networks for Models of Driver´s Brain Functions (en)
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  • RIV/68407700:21260/13:00207268!RIV14-MSM-21260___
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  • I
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  • 62140
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  • RIV/68407700:21260/13:00207268
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  • neural networks; modelling; prediction; road safety; brain functions; human machine interface (en)
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  • [280BDA728593]
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  • Praha
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  • Praha
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  • 20th Anniversary of the Faculty of Transportation Sciences, Czech Technical University in Prague - Selected Papers
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  • Růžek, Martin
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  • České vysoké učení technické v Praze, Fakulta dopravní
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  • 978-80-01-05320-1
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  • 21260
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