ABSTRACT
Reaction–diffusion systems of differential equations have been shown to provide accurate models of a wide variety of realistic natural phenomena across diverse fields including ecology [1], fluid dynamics [2], chemistry [3], and many more. In addition to the modeling of physical phenomena, reaction diffusion can have applications in building natural computing systems [4] and state-of-the-art biological communication systems [5]. Recently, researchers have become interested in neural networks that have a diffusion term and their control and applications [6–8].
