A novel learning algorithm inspired by the concept of DNA sequence in biological systems

In this paper, a novel algorithm named DNA-like learning algorithm is proposed. This algorithm is enable to quickly train the CNN template implementing LSBF, and has many advantages including without the need to consider its convergence property, in particular faster running speed and better robustness. The important problem of implementing non-LSBF will be further discussed in the future study.