The Energy-Efficient Resource Allocation of Multi-Modal Perception for Affective Brain-Computer Interactions Based on Non-Linear Iterative Prediction Scheme

<p>For the whole environmental settings in this research, conventional affective brain-computer interactions can not build a good performance on energy-efficient resource of network’s forwarding ports and routing paths due to its poor allocation function cognitive radio networks, based novel interactive networking architecture, model non-linear iterative prediction scheme interaction was successively proposed. This research proposes modified LSTM algorithm with structure complexity prediction, joins multiple k modes selection multi-agent systems, maximizes EERA while maintaining communication quality. Firstly, considering whether need system. Secondly, adjusting factors by selecting best optimal for links through multi-modal perception. The simulation results show that compared other models algorithms, proposed interactions, which has nice higher channel utilization architecture interactions.</p> <p> </p>