Abstract
By a News Reporter-Staff News Editor at Network Daily News - Researchfindings on Energy Research-Energy Science and Engineering are discussed in a new report. According tonews originating from Huainan, People’s Republic of China, by NewsRx correspondents, research stated,“In response to the issues of traditional backpropagation (BP) neural networks in state of charge (SOC)estimation, including easy convergence to local optima, slow convergence speed, and low accuracy, thispaper proposes a novel adaptive crossover mutation strategy and dynamic sparrow search algorithm tooptimize BP networks’ initial values and thresholds (ACMSSA-BP). The proposed method is based on thesparrow search algorithm, where the number of producers and scroungers is adjusted through an adaptivefactor.”
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