signal learning 中文意思是什麼
signal learning
解釋
信號學習-
Hybrid control based on q - learning for urban traffic signal
學習的城市交通信號燈混雜控制 -
In the field of application of fault diagnosis with mese, using short signal analysis technology can get characteristics vector of faults. then fuzzy reasoning and neural networks are used to construct fault diagnosis system. the fault diagnosis system analyses the characteristic vector by self - learning
在故障診斷領域的應用研究方面，將的簡訊號最大熵譜分析與模糊推理、神經網路技術相結合，採用模糊神經網路對最大熵譜分析得到的特徵向量進行自學習的模糊推理，能夠準備識別故障類型。 -
How to design the controller are mainly discussed in chapter three. because of the difficulties of the pid arithmetic, signal neuron controller ( snc ) are combined in order to overcome the shortages of the pid arithmetic, which has self - learning and self - adaptive ability
第三章主要是控制系統控制器的設計，針對常規pid演算法的缺點，本文將pid與神經網路相結合，利用神經網路的自學習功能實時的改變控制器的參數。 -
Through calculation on varied parameter, a group of suitable parameter is found out. the results of experiments indicate that the theoretical analysis to the magnetic field of the magnetic structure is proper. to remove the result error come from the change of gap between piston rod and sensor, a signal processing method accompanied with machine learning process is researched
為消除傳感器與磁性標尺之間間隙變化對測量結果的干擾，將示教學習方法引入行程傳感液壓缸的信號處理過程，並使用改進的遺傳演算法解決自學習過程中周期曲線的擬合問題，提出了雙傳感器軸向直線布置方法和基於自學習過程的信號處理方法，通過實驗，達到了顯示精度0 . 01mm ，測量重復精度0 . 2mm的良好效果。 -
The dissertation mainly aims at applying several active machine learning strategies to intrusion detection and systematically studies signal analysis techniques of intrusion detection based on statistical learning theory ( slt ), symbol inductive learning theory and genetic learning method. meanwhile, performance comparison and evaluation among intrusion detection techniques based on different machine learning strategies are presented according to computational learning theory and statistical hypothesis test methodology. intrusion detection is regarded as a pattern recognition problem in term of statistical learning theory ; i
本文的主要工作是將目前幾種有生命力的機器學習策略應用於入侵檢測技術中，論文從入侵檢測的不同視角出發，系統深入地研究了統計學習理論、基於符號的歸納學習理論和遺傳學習方法在入侵檢測信號分析中的應用技術，並在可能近似正確（ pac ）學習框架下，利用計算學習理論和統計假設檢驗方法對基於不同機器學習策略的入侵檢測方法進行了性能比較和評估。 -
Common pd in signal language learning mainly showed in the following : ca n ' t understand the objects the mathematics signals represent ; scare of extensive cognition to the mathematics objects which mathematics signals represent. do n ' t understand the meaning expressed by signal language. the same signal forms can express different meanings, and different signal forms can express the same meaning, if student separate signal language from its maths meaning contained in it, the ml they mastered is a kind of signal game without any meaning ; not mastering various forms of signal language ( signal language has many equal forms ) or only mastering one kind or several kinds forms, the cognition to signals are not enough
符號語言學習的常見心理偏差主要表現存不能理解數學符號代表的對象，缺乏對數學符號所表示的數學對象的廣泛性的認識；不明白符號語言表達的含義，如果將符號語言與所表達的數學含義相脫離，學生所掌握的數學語言就是毫無意義的符號游戲；掌握不了符號語言的各種變化形式，符號語言有許多的等價形式，如果只是掌握其中的一種或幾種形式，對它的認識將不夠充分。 -
This research addressed an urban traffic intelligent control system, which adopts a multi - agents coordination in urban traffic control to coordinate the signal of adjacent intersections for eliminating the congestion of traffic network. an agent represents a signal intersection control, and multi - agents realize coordination of multiple intersections to eliminate congestion. based on recursive modeling method and bayesian learning that enables an agent to select his rational action by examining with other agents by modeling their decision making in conjunction with dynamic belief update. based on this method, a simplified multi - agent traffic control system is established and the results demonstrate its effectiveness. it is very important for its
本文中提出一種城市交通智能控制系統，針對城市交通網路中相鄰交叉口的交通流可能相互沖突，即局部交通流的優化可能引起其他區域交通狀況的惡化的問題，採用多智能體協調控制方法來協調相鄰交叉口處的控制信號消除網路中的交通擁塞.提出以一個智能體的方式實現一個信號燈交叉口控制，對多個信號燈交叉口形成的交通網路採用多智能體協調控制的方式實現網路流量優化來消除擁塞.文中提出由遞歸建模和改進的貝葉斯學習相結合的多智能體系統來使智能體可以確定其他智能體的準確模型並實時更新信息，並基於上述方法在簡單的交通網路模型上建立了多智能體交通控制系統，模擬結果表明了方法的有效性，對實現智能交通系統有重要意義 -
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 -
Pd in ml learning has its own forms of expression. on the basis of ml analysis, separately discuss the forms of expression of pd in learning mathematics word language, signal language and graph language
數學語言學習的心理偏差有它表現的形式，在對數學語言含義分析的基礎上，分別討論了學習數學文字語言、符號語言、圖形語言時心理偏差的表現形式。 -
( 2 ) the characters of the signal for the low voltage electrophoresis chip, signal processing theory such as the nyquist theory, fft, fir filter and the wavelet have been discussed after the learning of low voltage electrophoresis theory and the analyzing of the low voltage electrophoresis chip
2在深入了解重慶大學微系統研究中心研製的低電壓分離電泳晶元結構、原理、信號檢測方式的基礎上，分析了毛細管電泳晶元信號特點以及相關的數字信號處理方法（奈奎斯特抽樣定理、傅立葉變換、有限長單位沖激響應（ fir ）濾波器、小波變換） 。
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