Research and Development of Immune Neural Network Algorithms for Electrical Transport Dangerous Situation Recognition and Prevention

Doctoral Thesis

Anna Beinaroviča, Riga Technical University, Latvia

The Doctoral Thesis is related to the safe motion of electric transport, providing novel immune neural network-based algorithms for its control. The Thesis contributes to the safety improvement of multiple collaborating unmanned electric vehicles moving and performing their own tasks in the same area by researching and developing immune neural network technology. The developed technology provides the ability for continuous unsupervised self-learning to avoid collisions by changing speed and trajectory, maximizing the efficiency of task performance in real-time.

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Published online

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RTU Press

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