【摘要】 本文对Ｈｏｐｆｉｅｌｄ神经网络Ａ／Ｄ转换器电路进行了分析。对照转换条件及电路的稳态方程，讨论了输出状态与参考输入必须满足的条件。在此基础上提出了两种改进Ａ／Ｄ转换电路的途径：（１）对原电路选择适宜的参考输入；（２）根据Ｈｏｐｆｉｅｌｄ线性规划网络提出的一种新电路．文中还给出了ＰＳＰＩＣＥ模拟计算，所得结果与理论分析吻合。更多还原

【Abstract】 A/D converter circuits based on Hopfield neural network are studied in this paper.The besic operation mode of A/D conversion and the stable state solution of the circuit are compared.Then the relation between the output state and the reference input of the neurons is discussed.The reference input conditions for correct output states are derived.Two approaches of modifying A/D converter circuits are presented:1.Appropriate selection of reference inputs in the original circuit,2.A new circuit based on the concept of the Hopfield linear programming circuit.PSPICE computer simulation results are also given,and in accord with the theoretical analyses.更多还原