The algorithm allows researchers to reconstruct how abundant different block-lengths are present within a copolymer sample, giving a much more detailed picture of the material's internal structure.

Minimum-weight perfect matching (MWPM) algorithms are commonly used to tackle the decoding problem in quantum error correction.

Cilimkovic, M. (2015) Neural Networks and Back Propagation Algorithm. Institute of Technology Blanchardstown, 15, 3-7.

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Keywords: multi-source data fusion, BP neural network, legacy algorithm, genetic algorithm–optimized back propagation network, multi-sensor fault recognition Citation: Xiong Z, Ma J, Chen B, Lan H and ...

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However, the traditional back propagation (BP) algorithm causes some iterations to fall into the optimal local solution due to the influence of the characteristics of the algorithm.