neural network computer 中文意思是什麼
neural network computer
解釋
神經網路計算機-
Lastly, a model to evaluate effects of radar eccm ability based on neural network is founded. how to use it in evaluating is investigated according to computer simulations. and the objectivity, practicability and convenience are analyzed and discussed
建立了具有學習功能的抗干擾效果綜合評估模型，並結合模擬實驗結果，對上述方法的客觀性、實用性和快捷性等進行了分析討論。 -
The application of computer image processing and neural network can greatly improve the analytical efficiency of leucocytes
將計算機圖像處理和神經網路理論用於白細胞的檢測，可以提高白細胞檢測質量和效率。 -
In this paper, wavelet neural network is used to extract the signal feature of three millimeter pulsed radar, and the simulation is done by the computer
本文將小波神經網路用於三毫米脈沖體制雷達回波信號特徵的提取並做了計算機模擬。 -
In the phase of image pretreatment, the main jobs of this system includes dot operation, image swell, positive chiasma transform, edge extraction and edge swell, outline track, etc. because the visual system itself is a neural system, systematizer designed in the paper adopts bp neural network to accomplish computer image identification, the system has some advantages over the traditional one, but with the extensive application of bp neural network, the problems existing in bp neural network come forth increasingly
在系統軟體設計部分中，首先是對所選零件進行模式識別，包括圖像預處理、特徵提取和分類器設計三個階段，其中在圖像預處理階段本系統主要做的工作有：點運算、圖像增強、正交變換、邊緣提取和邊緣增強、輪廓跟蹤等。由於視覺系統本身就是一個神經系統，故本文所設計的分類器採用bp神經網路，其具有一些傳統技術所沒有的優點。 -
The third generation of scada, based on the technology of distributing computer net and relation data base, could realize the large - scale internet connection, which is currently applied in data collection, surveillance control and processing control in the fields of electric power system, water supply system, petroleum and chemical industry etc. the fourth generation of scada would adopt the internet technology, object oriented technology, neural network as well as java technology as its main development tendency, aiming at enlarging the integration of scada and other systems, which could finally meet the needs of business management and integrated security economic circulation
現在的基於分散式計算機網路以及關系數據庫技術的能夠實現大范圍聯網的第三代scada系統被廣泛應用於電力系統、給水系統、石油、化工等領域的數據採集與監視控制以及過程式控制制等諸多領域。第四代scada系統的主要發展趨勢是採用internet技術、面向對象技術、神經網路技術以及java技術等技術，繼續擴大scada系統與其它系統的集成，綜合安全經濟運行以及商業化運營的需要。 -
This paper presents a method that how to use neural network techniques to realize automatic computer fiber recognition according to their diameter and color
摘要本文提出根據纖維的直徑和顏色特徵，應用神經網路技術實現棉麻纖維的計算機自動識別。 -
A kind of capacitor sensor to make computer - based measurements to level angle is designed. it is with the aid of artificial neural network that we can non - linearity map the level angle with the output values regarding to the changing environmental conditions
利用電容式傳感器實現水平偏轉角度的計算機檢測，在考慮環境條件變化的情況下，利用人工神經網路實現偏轉角與輸出量值的非線性映射。 -
Abstract : a kind of capacitor sensor to make computer - based measurements to level angle is designed. it is with the aid of artificial neural network that we can non - linearity map the level angle with the output values regarding to the changing environmental conditions
文摘:利用電容式傳感器實現水平偏轉角度的計算機檢測，在考慮環境條件變化的情況下，利用人工神經網路實現偏轉角與輸出量值的非線性映射。 -
The principle and the way of quality control of woolen top using artificial neural network were discussed. the possibility was discussed that the conventional mechanic carding machine was modified with a computer automatic controlling system based on the artificial neural network. compared with the general automatic controlling system, computer automatic controlling system based on the artificial neural network was put forward to the experiment
探討了利用人工神經網路進行粗梳毛紡毛條質量控制的原理及方法，探討了用基於人工神經網路的計算機自動控制系統改造傳統機械式梳毛機的可能性，通過比較基於人工神經網路的計算機自動控制系統與一般自動控制系統提出了基於人工神經網路的計算機自動控制系統，經對實測數據驗算，控制精度十分理想。 -
It possesses not only the self - learning ability and adaptability, but also the function of self - adjusting factors. based on fuzzy set, neural network theory, the fuzzy control model and fuzzy neural network control model of multi variable system are presented. based on the automatic core - welding line of shop floor control system in yangzhou radiator plant computer integrated manufacturing system ( ys - cims / sfcs ), the fuzzy logic theory was applied to the controlling device and established the main heating room fuzzy temperature controller and finally was put into practical use
本文採用了基於神經網路技術的智能pid控制策略，設計了一類具有自學習和自調整比例因子功能的神經元網路自適應pid控制器的結構及演算法；為解決結構不確定性的復雜多變量系統的控制，基於模糊集及模糊系統、神經網路理論，建立了多變量系統的模糊控制模型及模糊神經網路控制模型；針對揚州水箱廠計算機集成製造系統車間管理與控制系統（ ys - cims sfcs ）中的實際工程問題，設計和開發了散熱器芯子烘焊自動線主烘腔溫度模糊控制器，解決了生產中長期存在的老大難問題，提高了產品質量，降低了單產能耗。 -
Research of computer - interlocking control systematic fault diagnosis expert system based on neural network
基於神經網路聯鎖系統故障診斷專家系統的研究 -
To solve these problems respectively, the color space transformation and bp neural network are firstly used to realize the classification and threshold processing of images. then the images processing including thinning, interval linking, code word chaining, seed filling, boundary fitting is performed well by some methods in mathematical morphology and computer graphics and interpolation in numerical value analysis
為了逐一解決這些困難，運用了色彩空間變換以及bp神經元網路的方法對圖像進行分類和閾值處理，利用數學形態學和計算機圖形學以及數值分析中的插值等方法對圖像進行了細化、間隙連接、鏈碼、種子填充、邊界擬合等處理。 -
Finally, take example for a non - linear function, method mentioned in this paper is used to design wavelet neural network to approximate this function. the computer simulations confirm the method that is brought out in this paper is useful, and prove that wavelet neural network has not only fast convergence and better precision of approximation, but also good capability of forecasting and escaping error
最後，對於一個實際的非線性函數，用本文介紹的方法來設計小波神經網路來逼近函數，模擬結果表明該方法的有效性，並且表明小波神經網路在函數逼近上，網路的收斂速度快，逼近精度高的特點，並且網路具有很好的泛化能力和容錯性。 -
Based on polymerization reaction of the nylon - 6 rubberized cord fabric production of distributed control system in yangzhou organic chemical plant computer integrated manufacturing system ( yh - cims / dcs ), the multiple stepwise regression method was used to build the statistic mathematical models of the molecule weight and the monomer quantum of casting slice belt. then the optimization model of polymerization reaction was presented, which was solved by using simulation annealing algorithm to obtain the best techniques parameters. the improved hybrid genetic algorithm and back propagation algorithm are combined to train neural network, brought out the neural network prediction model of casting slice belt ' s average molecule weight to guide the technologist on - line
提出了流程工業生產過程操作優化策略和應用實施方法，包括生產過程離線優化策略、非線性問題求解策略、在線優化模型及學習策略；結合揚州有機化工廠計算機集成製造系統集散控制系統（ yh - cims dcs ）的實施，針對錦綸? 6浸膠南京理工大學博士學位論文摘要簾于布生產中己內酚胺聚合反應過程優化控制這一工程實際問題，採用統計建模方法，建立了聚合反應過程的優化模型；為求解所得的優化模型，提出了種改進的有約束條件下的模擬退火演算法，該演算法能避免陷於局部最優解，有效地提高了所求解的全局性和可靠性：提出了基於改進的ga演算法和sp演算法相結合的混合學習演算法，建立了基於神經網路的聚合反應過程生產目標在線預測模型，該演算法和模型滿足了生產中的實時性和實用性要求。 -
This article introduces the developing history and the current situation of the automatic goal discern, and on the basis of structure of the parallel computer and neural network knowledge, it analyses the hardware and software engineering foundation that realized the real - time goal recognition system
介紹了自動目標識別的發展歷史和現狀，在并行計算機結構和神經網路知識的基礎上，分析了實現實時目標識別系統的硬體和軟體技術基礎。 -
The data is processed to obtain parameters required to model the system and then the system is realized on computer. now the position and load of the car of interest can be ready to be used. during the research, two methods are employed : neural network and attribute theory
然後，對採集到的信號，進行數據分析、處理，並通過在對橋式起重機的整個狀態監測過程中，進行系統建模，並使得整個模型在計算機上實現，從而能夠及時得到小車的位置和載荷的重量參數。 -
Recent years, with the development of microelectronics, computer technology, automation technology and opto - electronic technology, with the deepening and utilitarian of artificial intelligence and neural network theories, automatic strip surface inspection trends to intelligent, high precision, high reliability and high - speed on - line detection
近年來，微電子技術、計算機技術、自動化技術和光電子技術的飛速發展，人工智慧、神經網路理論的深化及實用化，使帶鋼表面檢測向智能化、高精度、高可靠度、高速在線檢測的方向發展。 -
According to this control model this text has already carried on the direct feedback control, conventional digitized pid control system analog simulation. determined the convention control mode controlled parameter and its the control effect. and uses the neural network inversion control method based on this, recognizing and controlling leveling system and has carried on the training and the computer simulation to it
依據其控制模型，文中進行了直接反饋控制、常規數字pid控制系統的模擬模擬，確定了常規控制方式的控制參數及其控制效果，並在此基礎上採用神經網路逆控制方法，對調平系統進行辨識和控制，並對其進行了訓練和計算機模擬。 -
The neural network methology for heat transfer system of underground heat exchanger was also introduced, which lay emphasis on systematics, entirety and fuzzy systematics, and established predication modeling using neural network. from the computer simulation results, it was concluded that with nn modeling the precision was very high. it is worth to developed and applied for engeering practice and different situation
本文還介紹了主要從系統性、整體性和非線性上來描述地下埋管傳熱系統的神經網路，並針對不同輸入和輸出變量建立了神經網路預測模型，對埋管換熱進行模擬計算和預測，從計算結果可以看出神經網路的模擬值與實驗值相當一致，計算精度高。 -
Another method is based on the multi - resolution property of the wavelet. because different signal modulation has different characteristics at certain resolution, the specific signal information at different resolution are used a vector of signal features to identify signal modulation by rbf neural network. computer simulations show the methods proposed has good performance even in low snr ratio
基於小波的多解析度特性，在本文中利用小波分解獲取信號在不同分解水平下的細節信息，將這些細節信息構成特徵向量，由於不同信號類別具有不同的細節信息，於是可以將這些特徵向量通過徑向基函數（ rbf ）神經網路進行訓練與識別數字調制信號。
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