本文提出了采用數(shù)字式正交檢波技術(shù)得到I、Q通道的方法
本文提出了采用數(shù)字式正交檢波技術(shù)得到I、Q通道的方法，以此來(lái)測(cè)量相位，獲取傳感信息，很好地解決了在聲表面波無(wú)線(xiàn)傳感器測(cè)量系統(tǒng)中測(cè)量時(shí)間差的精度低的問(wèn)題。...
Q-Learning技術(shù)資料
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?? Q-Learning全部資料 (923個(gè))
主要是KNN（the k-nearest neighbor algorithm ）,LVQ1（learning vector quantization 1）, DSM（decision surface
主要是KNN（the k-nearest neighbor algorithm ）,LVQ1（learning vector quantization 1）, DSM（decision surface...
LabVIEW7實(shí)用教程 learning 全部資料 完整版
LabVIEW7實(shí)用教程 learning 全部資料 完整版...
Learning Multi-scale Block Local Binary Patterns for Face Recognition”
Learning Multi-scale Block Local Binary Patterns for Face Recognition”...
Reinforcement Learning
Reinforcement Learning...
SpikeLM: A Second-Order Supervised Learning Algorithm for Training Spiking Neural Networks Introduc
SpikeLM: A Second-Order Supervised Learning Algorithm for Training Spiking Neural Networks Introduc...
在開(kāi)發(fā)動(dòng)態(tài)網(wǎng)站的時(shí)候,總是發(fā)現(xiàn)很多朋友問(wèn)我要新聞系統(tǒng),我總是給他們指出到這down到那down,但是很快他們就不滿(mǎn)意的回來(lái)Q我了,告訴這個(gè)太大,那個(gè)太大,這個(gè)不會(huì)改,那個(gè)也不會(huì)改.在這里我寫(xiě)這篇DWM
在開(kāi)發(fā)動(dòng)態(tài)網(wǎng)站的時(shí)候,總是發(fā)現(xiàn)很多朋友問(wèn)我要新聞系統(tǒng),我總是給他們指出到這down到那down,但是很快他們就不滿(mǎn)意的回來(lái)Q我了,告訴這個(gè)太大,那個(gè)太大,這個(gè)不會(huì)改,那個(gè)也不會(huì)改.在這里我寫(xiě)這篇DWM...
Labview國(guó)際象棋,it is useful if you are learning labview
Labview國(guó)際象棋,it is useful if you are learning labview...
This book is finite element method learning book.
This book is finite element method learning book....
新神經(jīng)網(wǎng)絡(luò) Extreme Learning Machine 比SVM快
新神經(jīng)網(wǎng)絡(luò) Extreme Learning Machine 比SVM快，附4個(gè)例子...