FractalNet: A biologically inspired neural network approach to fractal geometry
We present a multiply connected neural network to estimate the fractal dimension (Df) using the Box-counting method. Traditional methods used to estimate Df are sequential. A neural network implementation would be computationally efficient and suggests a possible biological realization.
fractal geometry box-counting method fractal analysis