利用连续Hopfield网络(CHNN)实现低分辨仪器的高分辨观测

Realizing High Resolution Observation with Low Resolution Instruments by Continuous Hopfield Neural Network

结合直接解调技术,重点推导论证了利用连续Hopfield网络实现低分辩仪器的高分辨观测,并建立了相应的神经网络模型。经实验表明了该方法的实际可行性,具有较好的推广能力。

Realizing high resolution observation with low resolution instrument by continuous Hopfield neural network (CHNN) based on direct modulation technique is demonstrated firstly. The corresponding neural network model is applied and the result demonstrates that this method is feasible in practice.