论文标题
通过化学反应网络编程自适应线性神经网络
Towards Programming Adaptive Linear Neural Networks Through Chemical Reaction Networks
论文作者
论文摘要
本文涉及使用配备质量运动动力学的化学反应网络（CRN）编程自适应线性神经网络（ALNNS）。通过单独编程Alnns的正向传播和反向传播，并利用渗透壁技术，我们构建了具有Alnns功能的功能强大的CRN，尤其是具有自动计算的功能。我们还提供理论分析和案例研究以支持我们的构建。结果将对合成生物学，分子计算机和人工智能的发展具有潜在的影响。
This 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 function of automatic computation. We also provide theoretical analysis and a case study to support our construction. The results will have potential implications for the developments of synthetic biology, molecular computer and artificial intelligence.
