摘要：AbstractThis paper is concerned with programming adaptive linear neural networks (ALNNs) using chemical reaction networks (CRNs) equipped with mass-action kinetics. Through individually programming the forward propagation and the backpropagation of ALNNs, and also utilizing the permeation walls technique, we construct a powerful CRN possessing the function of ALNNs, especially having the role of automatic computation. We also provide theoretical analysis and a case study to support our construction. The results will potentially impact the development of synthetic biology, molecular computer, and artificial intelligence.
关键词：KeywordsChemical reaction networksMass-action kineticsAdaptive linear neural networksProgrammingGlobal exponential stability
