The primary neural networks decision-making units are activation functions. Moreover, they evaluate the output of node; thus, essential for performance whole network. Hence, it is critical to choose most appropriate function in calculation. Acharya et al. (2018) suggest that numerous recipes have been formulated over years, though some them considered deprecated these days since unable operate ...

Swarm control has become a challenging topic for the current unmanned aerial vehicle (UAV) swarm due to its conflicting individual behaviors and high external interference. However, in contrast static obstacles, limited attention been paid fission–fusion behavior of against dynamic obstacles. In this paper, inspired by interaction mechanism motion starlings, we propose Bio-inspired Self-organiz...

Nature has developed smart strategies to morph joint contact surfaces as a response local mechanical stimuli. Hence, it is compelling explore the advantages of mimicking these design pieces. Researchers and engineers have generative mostly focused on structural topological shape optimization. However, are not well for surfaces, even though they critical points in engineering structures machiner...

In this work, we have developed a new bio-inspired neural network algorithms for blockbased motion estimation. The main goal is to bridge the gap between algorithmic and biological vision by suggesting a bio-inspired motion estimation model based on neural network. We simplify the matching criterion for the block matching algorithm to reduce the hardware complexity and a number of input ports w...