针对实际系统的输入输出是与时间有关的连续过程,提出了一类用于连续过程逼近的过程神经元网络模型。
For the problem that the input and output of real systems is a continuous process relative to time, this paper proposed a process neural network model for continuous function approximation.
针对实际系统的输入输出是与时间有关的连续过程,提出了一类用于连续过程逼近的过程神经元网络模型。
For the problem that the input and output of real systems is a continuous process relative to time, this paper proposed a process neural network model for continuous function approximation.
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