fuzzy logic functions 中文意思是什麼
fuzzy logic functions
解釋
模糊邏輯函數-
A note on the method to simplify fuzzy logic functions
邏輯函數直接方法的注記 -
Neural - fuzzy control driver ? model is made based on fuzzy logic and neural networks. fuzzy mapping of the control rule and triangular membership functions is carried out with bp ( back propagation ) neural networks
基於模糊神經網路理論，建立了模糊神經駕駛員控制模型，用bp網路實現了控制規則、隸屬度函數的模糊映射。 -
With the help of simulink, fuzzy logic box provided by matlab, s - functions are written in c and m files. the output plots of heading and rudder angle can be obtained. the experiments are performed to test the disturbance rejection properties of the fuzzy model reference adaptive control compared with fuzzy control
利用matlab提供的simulink動態模擬環境，模糊邏輯工具箱及s -函數，將模型參考模糊自適應控制運用於船舶操舵系統，觀察航向及舵角輸出曲線，然後考慮風、浪及其它隨機干擾，分析系統的抗干擾性。 -
Considering a half - freedom mobile robot, the paper had done some conceptual analysis and design, then emphasized on some essential functions, including velocity control, path plan, target tracking etc. studied the algorithms respectively, such as pid algorithms, iterative algorithms, fuzzy logic algorithms, and so on, and used matlab to simulate and compared with each other
本文以市內半自主式移動機器人為研究對象，在研究整體系統組成及功能結構的基礎上，對其主要功能進行了概念性分析設計，並著重研究了其中幾項主要的基本的功能：包括速度控制、路徑規劃、目標跟蹤等，分別研究了這些功能實現的演算法，如pid演算法、迭代學習演算法、模糊邏輯演算法等，並應用matlab進行模擬分析。 -
Then employing neural networks learning techniques, fuzzy logic rules, input - output fuzzy membership functions and weights in networks can be easily tuned. so rule matching is reduced, inference process is accelerated, adaptability of the system is greatly improved
再利用神經網路學習能力便很容易修改規則庫中的模糊規則以及隸屬函數和網路權值等參數，這樣大大減少了規則匹配過程，加快了推理速度，從而極大程度地提高了系統的自適應能力。 -
Although fuzzy logic controllers have been successfully applied in many complex industrial processes, the fuzzy sets theory has some problems now, for example, the steady control performance of the fuzzy logic controller and the acquisition of control rules and membership functions rely to a great extent on empirical and heuristic knowledge. hence, in the fuzzy controller design, the acquisition of control rulers and the determination of the fuzzy membership functions are a bottleneck of the design of the fuzzy controller
盡管模糊控制器在許多復雜的工業過程式控制制中取得了成功的應用，但是，模糊控制理論尚存留了一些問題，還沒有得到完全地解決與完善，例如：常規模糊控制器的穩態性能的問題，以及模糊控制器的控制規則和隸屬函數參數是根據經驗而獲取的，因此，控制規則的獲得與隸屬函數參數的確定一直是模糊控制器設計過程中的一個瓶頸問題。 -
According to self - study ability of neural network, this paper designed a fuzzy neural network controller to apply in one of the post - stall maneuvers milestone70 degree angle of attack trimmed flight through train the fuzzy logic rules and membership functions of the traditional fuzzy logic controller, then we got satisfied results
利用神經網路具有自學習能力的優勢，採用反向傳播學習演算法，通過對傳統模糊邏輯控制器中的模糊邏輯控制規則和隸屬函數有關參數進行訓練學習，設計了模糊神經網路控制器，應用於飛機的過失速機動「里程碑」之一? ? 70迎角定常飛行模擬計算，獲得了令人滿意的結果。
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