A novel G-S chaotic neural network is proposed to resolve the hysteresis model of piezoceramics.
为解决压电陶瓷迟滞建模问题，提出一种新型的G - S混沌神经网络模型。
Then, using curve fitting and optimization method, the linear model, hysteresis model and variable linear model of pressure-torque relations are developed based on test data.
其次，在获得大量试验数据的基础上，运用曲线拟合和优化技术，建立制动压力-力矩关系的线性模型、迟滞模型和可变线性模型。
On the resistance of capillary hysteresis, the model of high power pulsating heat pipe is improved and the flow and heat transfer are further studied.
在毛细滞后阻力方面，改进了所建立的高功率脉动热管的模型，进一步研究了脉动热管的流动和传热特性。
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