定中心棒 的英文怎麼說
中文拼音 [dìngzhōngxīnbàng]
定中心棒
英文
centring bar-
The form of the stable geomagnetic field is like that of a bar magnet at the center of the earth
穩定地磁場的形狀與地球中心的棒磁鐵的形狀相似。What is more, snimay applies counter - fake mark on its hardware accessories, which enables our customers to buy the rest with comfort, please join us, snimay will help create a unique living environment for modern society, from which you will not only get perfect comfort, but also feel refreshed, and ready to take on the challenges of a new day
在市場推廣方面一定要抓住一個中心，結合主要與次要矛盾，有效避免東一榔頭西一棒槌的事情發生，這一點是非常重要的。人與人交往，常常是意志力與意志力的較量。不是你影響他，就是他影響你，而我們要想成功，一定要培養自己的影響力，只有影響力大的人才可以成為最強者。Bis means best in show ， your dog is must be the best. why don ' t we show the pictures to our friends ？ we all love it
在你心中你的愛犬一定是最棒的，在這個園地里我們共同捕捉愛犬的每一個眼神，每一個動作。無論在家裡還是在賽場上，我們都把更多更美的照片展示給大家吧。This model is stable, robust and is beneficial to simulate and realize the decision - maker ' s actual plan mind and work process. 3 ) at the premise of analyzing the integration of the enterprise function information system and the harmony among departments, the paper studies the establishing process of the workshop production plan. according to the fuzzy multiple attribute decision - making model, we achieve the decision - making of technics route
進而基於該功能特徵，通過分析現代生產系統中的大量不確定、模糊的因素，建立了模糊多屬性折衷式決策模型，該模型具有一定的穩定性和魯棒性，為模擬和實現決策者真實的計劃決策心理和操作過程做了有益的嘗試。This paper studies a design method of decentralized signal detection system which consists of adaptive fuzzied local - detectors and a data fusion rule of on - line self - learning weights. the local - detectors for inaccurate signal parameters are modeled by means of fuzzy sets which can be adapted to change of the inaccurate signal parameteres. the data fusion center where the optimal declsion rules are used as objective function can learn the local decision weights on - line. the robustness of the fuzzied local - detectors and the adaptability of the self - learned fusion rule make it true that the detection performance of the decentralized detection system is improved under uncertainty and this system can also process the decentralized signal detection with a unknown parameter of unknown distribution or non - random unknown parameter
本文研究了一種由局部自適應模糊檢測器和在線自學習融合演算法所構成的分散式信號檢測系統的設計方法.由模糊集對不精確信號參數的局部檢測器進行建模，該模糊模型可自適應不精確信號參數的變化.融合中心以最佳融合規則作為目標函數在線自學習局部判決的權重.局部模糊檢測器的魯棒性和自學習融合演算法的自適應性使該分散式檢測系統在不確定環境下的檢測性能得到提高.也使該系統能夠處理未知分佈的未知參數以及非隨機未知參數的分散式信號檢測分享友人