neural type 中文意思是什麼
neural type
解釋
神經型-
Both input and output of the networks are cither procedures or functions. procedure - type ' s inputs to networks relax synchronization instantaneous limit on inputs in the traditional neural network models
過程式輸入放寬了傳統神經元網路模型對輸入的同步瞬時限制，是傳統神經元網路在時間域上的擴展，是更一般化的人工神經元網路模型。 -
Determination of the butter type with neural network analysis of compositional parameters - chemometric method
根據組分參數的神經網路分析測定黃油類型.化學法 -
Epigenetic alterations in cell - type - specific gene expression control the transition of neural stem cells ( nscs ) from predominantly neurogenic to predominantly gliogenic phases of differentiation, but how this switch occurs is unclear
細胞類型特異的基因表達之表觀遺傳學改變控制著神經幹細胞由神經元發生為主向膠質細胞發生為主的轉變，但是這一時相的切換機制還不清楚。 -
Before 80, he worked on the trophic relationship between nerve and muscle, especially the neural determination of muscle fiber type characteristics
年代前，他主要研究神經和肌肉間的營養性關系，特別是肌纖維類型特徵的神經控制。 -
There are many types fuzzy - neural network at present. but in this paper, a new type of fnn structure is presented which is in form of series
模糊神經網路的種類很多，本文在總結模糊神經網路的發展與分類的基礎上提出了一種新型的模糊神經網路串聯式結合方式。 -
Methods divide the 70 pations into two groups : less than 2 monthes is one group, exceed 4 monthes is other group, record the evalue of mri signal intensity the size of protruded nucleus pulposus, protrusion type, discs hight, dies degeneration degree, neural root compression degree thicken fligamenta flava
方法對已知不同突出時間的腰椎間盤突出患者進行詢問病史、體格檢查和磁共振掃描，記錄患者臨床表現、突出時間、突出髓核及同層間盤的信號強度、突出髓核大小、突出間盤厚度、有無神經根受壓、有無黃韌帶肥厚、突出間盤變性程度、突出類型等指標。 -
To identification when lumber intervertebral discs protrusion happen and how it happen is more and more important and urgentent. we will study clinical situation and mri of lumber intervertebral discs protrusion, recording percentage changes of mri signal intensity and other image characteristic. we will study mri signal intensity of protruded nucleus pulposus, the size of protruded nucleus pulposus, discs hight, neural root compression degree, thicken ligamenta flava, discs degeneration degree, protrusion type and their relation with incident time
本研究擬對已知不同突出時間的腰椎間盤突出患者進行詢問病史、體格檢查和磁共振掃描，記錄臨床表現、突出時間、突出髓核及同層間盤的信號強度、突出髓核大小、突出間盤厚度、有無神經根受壓、有無黃韌帶肥厚、突出間盤變性程度、突出類型等指標，觀察突出時間不同的腰椎間盤的臨床表現及磁共振表現特點，尋找與腰椎間盤突出時間相關的指標，並根據臨床表現及磁共振所見初步判斷腰椎間盤突出的時間。 -
In order to find out a novel fuzzy inference algorithm being superior to cr1 algorithm and a novel fuzzy neural network, the author deduces nine kind of triple i algorithms by nine fuzzy operators. further more, the author compares these algorithms with the ordinary intuitional rules respectively and gives a conclusion that rl - type triple i algorithm is rather more closely to the intuitional rules. because fuzzy neural networks require the conditions of continuous and differential on membership functions of fuzzy sets and fuzzy operators of fuzzy inference, by means of comparison study, the author obtains a conclusion that the fuzzy neural networks with production operator and cr1 inference algorithm are very fit to study the problem of control
為了找出優于cri演算法的模糊推理方法和新型模糊神經網路，本文首先對常用九種模糊運算元給出了具體三i演算法，並從模糊推理的另一個方面，考察了各種演算法對日常直觀模糊推理規則的貼近程度，得出「 r _ l型三i演算法貼近日常直觀推理規則」這一結論；同時，考慮到模糊神經網路要求「網路輸出保持對模糊運算元和隸屬函數連續性、可微性」這一特性，通過比較研究，得出利用乘積運算元和cri推理的模糊神經網路最適合控制問題。 -
To conquer the problem of acquisition high effectiveness in analog circuit fault imformation, wavelet transform was researched in this paper to preprocess the fault signals. meanwhile, bp neural network diagnosis method based on wavelet transformation was proposed, this method can abstract fault feature effectively and decreases the dimension of imput vector. by this mean, the construct of neural network can be simplified and training time was economized, then the recognize ability of fault type was improved also
為解決模擬電路的故障信息高效獲取難題，本文採用小波變換作為故障信號的預處理器，研究了基於小波變換預處理的bp網路故障診斷方法，該法能在有效提取故障特徵的同時，降低輸入信息的維數，從而進一步簡化了神經網路的結構，減少了其訓練時間，提高了辨識故障類別的能力。 -
Pcnn is a new type of network and is called the third generation artificial neural network. it is a simplified model built through the simulation of the outbursts of synchronous pulses in the visual layer of a cat ' s cerebra
Pcnn是近年來提出的一種新型網路，被稱為第三代人工神經網路，它是通過模擬貓的大腦視覺皮層中同步脈沖發放行為而建立起來的一個簡化模型。 -
4 different types ’ features were generated, namely ar model parameters, power spectral frequency band intensity, energy for wavelet packet decomposition, wavelet packet entropy. every type of features were extracted respectively using pca and ica method and classified using linear neural network, knn and bp network
建立了ar模型參數、功率譜估計頻帶強度、小波包分解能量比率、小波包熵四種特徵，分別使用pca與ica進行特徵提取，採用線性神經網路、 k -緊鄰法、 bp神經網路四種分類器進行分類。 -
( 3 ) do x2 - test between the two groups about the below entry : degeneration degree, neural root compression degree, thicken ligamen - ta flava, the type of the protrusion. result 1
（ 3 ）兩組間神經根受壓、黃韌帶肥厚、突出間盤變性程度、突出間盤類型之間的比較。 -
First, the fault type is identified by rough - set, then the neural networks determines the fault elements by the sampling voltage values. with regarding to the other method, the rough - set is looked as the pre - system of neural network. the fault information as well as the sampling voltage values are simplified by rough - set, and the outcome of this processing is the input of neural network.
整體結合是利用粗糙集對故障信息中樣本的所有故障徵兆進行數據處理，通過知識約簡，刪除多餘的徵兆屬性，簡化知識表達空間維數，簡化以後的樣本數據作為神經網路的訓練樣本，構成完整的粗糙集-神經網路故障診斷方法，將粗糙集與神經網路相結合，簡化了神經網路結構，從而達到提高診斷速度的目的。 -
Recently, many interesting stability criteria for the equilibriums and / or periodic solutions of delayed neural networks have been derived via lyapunov - type function / functional approaches. this thesis mainly focuses on the local and global / exponential stability for several delayed neural networks
尤其是時滯神經網路平衡點和周期解的穩定性（包括漸近穩定性、指數穩定性、絕對穩定性等）得到了深入的研究，也出現了一系列深刻的結果。 -
2. ga optimized bp neural network first, selected function for evaluating. second, used matlab toolbox to design ga ( chosen selection methods, crossover type, and mutation probability ). ga could get rid of redundant node and branch effectively from bp network, and optimized it
（ 2 ）遺傳演算法優化網路首先確定評估函數，再利用matlab提供的遺傳演算法工具箱進行演算法設計（確定選擇方法、交叉類型、變異概率等） ，剔除網路冗餘節點和分支，實現對bp網路的優化。 -
This hardware system absorbed simd and mimd parallel structure ' s merit in the maximum extent, it can be used not only to realize parallel type neural network algorithm, but also to realize parallel and serial type neural network algorithm and other parallel algorithm
該硬體系統最大限度地吸收了simd和mimd兩種并行結構的優點，既可以用於實現並型神經網路演算法，又可以用於實現並串型神經網路演算法及其他并行演算法。 -
In this paper, the auv is the object of the research. in order to overcome the negative effects of the non - linear part of kinematic model, sea current and wave during motion control, a new type of neural network : fuzzy cerebellar model arithmetic controller ( fcmac ), together with an on - line learning scheme based on the lyapunov stability theory, has been adopted in designing the new motion control system. the simulation results have been compared with those generated by a classic pid controller
本文以auv為對象，針對其運動控制中模型非線性部分對控制性能影響較大及有海流、海浪等外界干擾等特點，採用一種新型神經網路：模糊小腦模型關節控制器（ fuzzycerebellarmodelarithmeticcontroller ）並結合基於李雅普諾夫原理而推導出的學習演算法設計auv的運動控制系統，並與傳統pid控制器進行了模擬比較。 -
This paper presents the studies of fuzzy - neural network ( fnn ) control methods in the application of the full - bridge series type resonant dc - dc converter
本論文研究的是模糊神經網路在全橋串聯共振型dc - dc變換器控制中的應用。 -
The impetus for this change, he theorizes, was not an encounter with another hominid type ( for by this time in africa, h. sapiens was free of competition with other human species ) but rather a genetic mutation some 50, 000 years ago that altered neural processes and thereby unleashed our forebears ' powers of innovation
克萊恩的理論是，那次轉變的動力，不是與另一種人類的沖突，因為那時非洲已經沒有其他的人類了，而是五萬年前智人基因組發生的一個突變，那個突變改變了神經過程，將我們祖先的創造天賦釋放出來。 -
Based on neural network theory, it takes pressure of upper cavity as secondary variable and punching power as primary variable to build model of soft sensing. thus punching power can be predicted using system pressure because of their functional relation. this type of measurement technology provides a new method to parameters measurement which is n ' t easy to got directly
以液壓缸上腔壓力為輔助變量，樁錘下打力為主導變量，利用函數型神經網路理論建立了兩者之間的軟測量模型，找到了液壓系統油液壓力和樁錘下打力之間的函數關系，從而為獲取不易直接測量參數提供一種新方法。
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