fuzzy neuron中文是什么意思

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中文翻译
造句

模糊神经原

neuron n. 【解剖学】神经原，神经细胞。 neuronic adj.
fuzzy adj. 1.有茸毛的，覆着细毛的，如茸毛的。 2.不清楚的。 fuzzily adv. fuzziness n.
neuron-neuron interaction 神经元-神经元相互作用
adjustor neuron 调整神经元
adrenergic neuron 肾上腺素能神经元; 肾上腺素能神元
affective neuron 感受神经
afferent neuron 传入神经元
allodendritic neuron 倒树状突神经元
amacrine neuron 无长突神经细胞
aminergic neuron 胺能神经元
artificial neuron 人工神经元，神经元; 人造神经元
associate neuron 联络神经元
association neuron 联合神经元; 联络神经元
assoiate neuron 联络神经元
auditory neuron 听觉神经元,听神经元
autonomic neuron 植物性神经元
bipolar neuron 两极神经元; 双极神经细胞; 双极神经元
blurred neuron 模糊神经原
burst neuron 爆发神经元
cardiovascular neuron 心血管神经元
central neuron 中枢神经元
chemosensory neuron 感化性神经元
cholinergic neuron 胆碱能神经元; 胆硷能神经元
command neuron 指令神经元
commissural neuron 联合神经元; 连合社经元; 连合神经元

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例句与用法

3 . the adapive fuzzy neuron model-free methods are proposed by the characteristics of fuzzy system and neuron system 4
针对模糊系统和神经元系统的特点，提出了自适应模糊单神经元的控制算法。
From the points of view for practical uses, the theory and applications of fuzzy neuron model-free control systems are researched in this dissertation
本文从工程实际出发，对模糊神经非模型控制系统设计理论和应用进行了研究。
The iniegrating forms between a fuzzy system and a neuron model-free control system are investigated and presented for designing the fuzzy neuron model-free controllers
针对模糊控制系统和神经元控制系统的不足，探讨了神经元非模型控制与模糊控制结合的可能性。
5 . the control systems of the heater are designed by the adaptive fuzzy neuron control arithmetic . the step response curve is got . the results show their nice performances
针对实验室电加热炉系统，使用自适应模糊单神经元控制算法进行控制系统的设计，得出阶跃响应曲线，取得了满意的控制效果。
The methods of simulation based on numeric integral are introduced . the simulation experiments are made to the arithmetic of adaptive fuzzy neuron cotrol by matlab . comparisons are made with pid control, fuzzy control and neuron control
介绍了基于数值仿真的方法，在matlab中对本文提出的自适应模糊单神经元控制算法进行仿真实验，并与pid控制、模糊控制、单神经元控制进行仿真比较。
The designs and applications of fuzzy-neuro model-free control systems for plants with big uncertainties are discussed in this thesis . series fuzzy neuron control methods are proposed and the simulation experiments with the examples of some industrial plants are made
本文从工程实际出发，对模糊神经非模型控制系统设计算法和应用进行了研究，提出了多种模糊神经非模型控制方法，针对不同的复杂工业对象和过程，进行了控制系统的设计和仿真实验。
The model-free pid control method with neuron tuning gain and the neuro-fuzzy control method for a constant cutting force metal turning process system are proposed . the former method keeps the cutting force to be constant by using the neuron to change the pid controller gain on-line . the latter method construct the fuzzy neuron controller by combing the fuzzy controller and the neuron controller
针对具有非线性和不确定性的机械加工切削过程，提出了神经元增益自整定的pid控制方法和模糊神经元非模型控制方法，前者采用神经元来在线调整pid控制器的增益，后者将模糊控制器和神经元控制器相结合构成模糊神经元控制器，这样当对象特性随切削深度的变化而变化时，所设计的控制器能保持切削力恒定，使系统稳定并具有满意的动态品质。
The second is a fuzzy neuron network based hybrid filter, which comprises four basic components : plus-shaped center weighted median filter, cross-shaped center weighted median filter, nine pixels median filter, and a fusion center with fuzzy-neuron network . the proposed filter is able to effectively inherit the merits of the used three filters . the third is a fuzzy reasoning filter based on neural network
第二种是基于模糊神经网络的混合滤波器，主要滤波器模块有十字型中心加权中值滤波器、交叉型中心加权中值滤波器和9点中值滤波器，信号经过三种滤波器处理后送入一个训练好的模糊神经网络进行融合处理，得到最终的滤波结果。