<p>This paper presents the problem of asymptotic stability for a class of fuzzy neutral-type memristive neural networks with mixed delays. By constructing the novel Lyapunov functional, several new sufficient conditions for the global asymptotic stability of the fuzzy neutral-type memristive neural network systems are presented. Compared with general neural network models, this model simultaneously introduces neutral term, fuzzy term and memristor term, which helps enhance the robustness, adaptability and energy efficiency of the model, especially when dealing with complex, uncertain or dynamic data, it performs outstandingly. Finally, the effectiveness of the proposed method was proved through two numerical examples.</p>