...统的织物染色配色方法费时费力,精确度不高,在研究自适应神经网络的模糊推理系统(Adaptive Network-based Fuzzy Inference System, ANFIS)理论及配色原理的基础上,本文提出了两种计算机配色方法,一种是将ANFIS技术引入到织物染色计算机配色...
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...染色配色方法费时费力,精确度不高,在研究自适应神经网络的模糊推理系统(Adaptive Network-based Fuzzy Inference System, ANFIS)理论及配色原理的基础上,本文提出了两种计算机配色方法,一种是将ANFIS技术引入到织物染色计算机配色...
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在保证性能的基础上，利用训练好的模糊推理系统对材料的成分进行优化，减少贵重元素的加入量。
The alloy composition can be optimized by the neural-fuzzy method thereby enabling them to replace the more ex-pensive noble elements with lower cost material having comparable mechanical properties.
仿真实验结果表明，具有自适应神经网络的模糊推理系统控制的异步电机矢量控制系统不仅动态和稳态性能都得到提高，而且具有较强的鲁棒性。
Simulation results show that the induction motor vector control system with adaptive neuro-fuzzy inference system can improve the static and dynamic performance of the motor and has good robust.
为了解决常规卡尔曼滤波法存在的不足，给出了用模糊推理系统与卡尔曼法相结合的方法。
In order to resolve the shortcomings of the traditional Kalman filtering, a new method is presented in which the fuzzy reasoning system is combined with the traditional Kalman technology.
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