For the drawbacks of existing cognitive models with same cognitive demanding and constant feature space constructed by DTCWT for various samples, an intelligent off-line handwritten Chinese character cognitive model with simulated feedback adjustment mechanism is explored in this paper, to simulate the human cognitive process of the adaptive adjusting feature space to repeat intercomparison and deliberately refine with various cognitive demanding. Firstly, an intelligent cognitive model with simulated feedback adjustment mechanism is proposed. Secondly, the cognitive demanding of samples is analyzed to establish the optimized DTCWT feature subspace and classified cognitive rules for various sample cognitive demanding. Thirdly, the evaluation criteria of cognitive results is defined to adaptively adjust the optimized feature subspace and classified cognitive rules based on the new cognitive demanding from the falsely cognitive samples. The optimized compact DTCWT feature space is established by integrating various optimized feature subspaces of multi-cognitive demanding. The experimental results based on GB2312-80 handwritten Chinese sample library show the superiority of our method.