fnnc 中文意思是什麼
fnnc
解釋
模糊神經網路控制器-
An indirect self - adaptive fuzzy - neural network controller ( fnnc ) has been proposed with its parameters and the structure tuned simultaneously by ga in virtue of the powerful optimization property of ga. the structure of the controller is based on the radical basis function ( rbf ) neural network with gaussian membership functions. the performance of the proposed fnnc is compared with a conventional fuzzy - pid controller and the simulation results show that the fnnc presents encouraging advantages
針對神經網路採用一維反向傳播訓練演算法速度較慢且易於陷入局部極小點的不足，設計了一種間接自校正模糊神經網路控制系統，利用遺傳演算法（ ca ）對隸屬度函數的結構和參數進行優化，模擬比較表明該控制比模糊pid控制具有更優的性能。 -
Finally the control result is improved by the output of fnnc. another neural network called pnn is introduced to finish constructing and renovating the knowledge database
本文主要對模糊神經網路自組織控制器在自動舵中的應用進行了研究，綜合了模糊控制和神經網路的應用。 -
Avoiding the use of mathematic models, the fuzzy logical control ( flc ) system meets the control demands of the tunnel ventilation process well which is a nonlinear distribution system. but because of its lacking of learning and adaptive ability, many problems has emerged when using flc : the membership functions of the fuzzy variables cannot be changed, the fuzzy logical rules cannot be modified automatically when environmental variables such as traffic model, average exhaust, etc, are changed. for this reason, the paper uses fuzzy neural network control ( fnnc ) system to improve the control process
模糊控制系統避開了數學模型，能很好適應公路隧道通風系統非線性和分散式參數特徵，但是模糊控制系統本身的學習和適應能力差，導致了模糊變量各語言值隸屬函數和控制規則不能隨著環境參數（如交通量、基準排放量等）的改變而自動調整和修改等問題，本文將具有強大學習能力的神經網路融合到模糊控制系統中，研究和探討了隧道通風模糊神經控制方法。 -
The fuzzy deduction and anti - fuzzy in fuzzy systems are finished by fnnc. off - line training the fnnc let it study and remember the experiential knowledge. then the fnnc can simulate the people ' s control actions
模糊神經網路是一種集模糊邏輯推理的強大結構性知識表達能力與神經網路的強大自學習能力於一體的新技術，它是模糊邏輯推理與神經網路有機結合的產物。 -
In the procedure of control, pnn studies on - line and gives the signals to fnnc. one of the algorithms to train networks is genetic algorithm which is based on darwinism. to avoid converge ahead of schedule or enter into the super - plane, the ratio of intercross and aberrance is self - adaptive to enhance the efficiency
在神經網路離線訓練時應用了基於達爾文進化論的遺傳演算法，為了解決一般遺傳演算法的早期收斂和陷入超平面等問題，採取對交叉和變異率自適應調整的方法來提高搜索效率。
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