neuron network 中文意思是什麼
neuron network
解釋
神經網路-
Auto - navigating virtual tracklayer based on genetic artificial neuron network
基於遺傳神經網路的虛擬履帶車輛自主導航 -
The main purpose of this paper is to investigate the application of the neuron network for the daily exchange rate forecasting. generalized cross validation is introduced to determine the number of nodes of the hidden layer, several well known time series forecasting methods are also compared with the nn method in this paper
討論了人工神經網路在金融匯率預報中的應用。其中介紹了廣義交互驗證generalized cross validation法如何應用於確定神經網路中隱層的個數，並用實例說明了該方法甚至對復雜的非線性函數也可以得到很好的逼近。 -
The second is a fuzzy neuron network based hybrid filter, which comprises four basic components : plus - shaped center weighted median filter, cross - shaped center weighted median filter, nine pixels median filter, and a fusion center with fuzzy - neuron network. the proposed filter is able to effectively inherit the merits of the used three filters. the third is a fuzzy reasoning filter based on neural network
第二種是基於模糊神經網路的混合濾波器，主要濾波器模塊有十字型中心加權中值濾波器、交叉型中心加權中值濾波器和9點中值濾波器，信號經過三種濾波器處理後送入一個訓練好的模糊神經網路進行融合處理，得到最終的濾波結果。 -
At last, compared the three data extention technologys merits. the time - series based and neuron network based data extention methods were proposed. chapter four studied the improvement of the emd algorithm al efficiency and precision. reserthed the effect of spline interpolation ' s end condition to the emd algorithm ' s precision, then discussed the low - order and propoed high - order spline interpolation based emd algorithm and their effects
第三章介紹了emd演算法端點效應的機理；然後系統地研究了直接信號序列延拓技術、基於時間序列預測和基於神經網路預測的數據序列延拓技術的特點及性能；最後，對各種延拓技術進行了比較研究，分析了各種延拓技術的優缺點。 -
Neuron network model is constructed to predict crystallization kinetics data, based on the crystallization kinetics data of the system with ciprofloxacin hydrochloride, h2o and ethanol
摘要以鹽酸環丙沙星、水和乙醇三元物系所得的結晶動力學數據為基礎，建立了一個預測結晶動力學數據的神經網路模型。 -
The simulation result shows that the quantum neuron network is superior to classical bp and rbf network for the financial data analysis example
模擬結果顯示，就算例而言，該量子神經計算網路的性能優于傳統的神經網路。 -
It has used to forecast the full - time teachers in higher educational institutions in zhejing province by grey model and the artificial neuron network. this paper has acquired the better calculation result based on the advanced bp algorithm
文中運用人工神經網路的技術，採用改進自適應學習速率和動量項系數的bp演算法，對浙江省高等學校專任教師數進行有導師的訓練和預測。 -
Electronic neuron network simulation
電子神經網模擬 -
Based on free handwriting numbers geometric structure, a way about picking up numbers eigen - value for end and its position, protruding point and its direction, three cross point ' s position, four cross point ' s position and so on, is put forward ; and number which exerts twelve paratactic bp neuron network for single number and single network, is recognized ; and regard the different scripts of a same number, which differ significantly from characteristic value, as different classification, therefore it obtains better effect
摘要基於手寫體數字的幾何結構提取端點及其方向、凸點及其方向、三叉點數和四叉點數等數字特徵值，運用單字單網的12個并行bp神經網路進行數字識別，把同一個數字特徵值差別很大的字體當不同的類別來處理，最後能達到很好的識別效果。 -
Artificial neuron network and its application to financial forecasting
人工神經網路及其在金融預報中的應用 -
Artificial neuron network ; generalized cross validation ; exchange rate forecasting
人工神經網路廣義交互驗證法匯率預報 -
The back - propagation algorithm and its program of the rough neuron network are presented
本文同時給出了粗神經網路bp演算法和用粗神經網路預測上證指數的程序。 -
The paper introduces a recognition method based on artificial neuron network, and a large number of tests are done, the result is satified
通過對人工神經元網路的研究與學習，提出了一種基於神經網路的數字識別方法，並作了大量的試驗，取得了滿意的結果。 -
A predictive model of flow rate for pumping stations based on the neuron network theory and an optimal operation model of pumping stations based on the hereditary algorithm were proposed
摘要利用改進的神經元網路構建了泵站流量以及效率預測模型，並利用改進的遺傳演算法構建了泵站優化模型。 -
Because the adaptive neuron network pid arithmetic need caculate many parameters and a normal slow speed cpu cannot process program on real time, samsung s3c44box cpu is selected
由於自適應的神經網路pid演算法計算的參數很多，一般的低速cpu不能實時處理，因此本文採用samsung公司的s3c44boxcpu 。 -
Chapter two introduced the basic ideas of emd theories briefly, and then discussed the emd - based time - frequency analysis method ' s basic agrithom. the conclusion was deduced that the method is valid in the field of signals processing and fault diagnosis in rotating machinery by simulation and real signal analysis. chapter three discussed the origin of emd method ' s end effect, then studied the direct, time - series based and neuron network based data extention technologys to weaken the end effect
第二章介紹了基於emd時頻分析方法的一些基本概念；闡述了emd方法和基於emd的希爾伯特變換的基本原理和演算法；在此基礎上，用基於emd的時頻分析方法對模擬和實際信號進行了分析驗證，結果表明把該方法引入旋轉機械振動信號時頻分析和故障診斷領域是有效的。 -
Secondly, the paper theoretically brings forward the systemic configuration of neural network based visual servo system on the orthogonal coordinate robot based on the internet. the neuron network controller is designed instead of normal robot movement controller, because that the robot control is the nonlinear and strong coupling character
從理論上首次提出了基於網路的直角坐標機器人視覺伺服系統結構，針對機器人運動控制的非線性、強耦合特性，採用神經網路控制器，構建了圖像偏差與運動控制量之間的對應關系。 -
Furthermore, because the three grades decelerate control method, which is used widely, in stack crane control in china has some shortcoming, two rbf neuron network applied in position error study and dot position control is put forward. because neuron network is of self - study, emendation and modification can be achieved in control and can remedy the shortcoming caused by shortage of sample
另外，本文還針對目前國內在對堆垛機控制方面普遍採用的三段式減速控制規律的弊病，提出用兩個rbf神經網路分別作為位置誤差學習器和點位位置控制器，由於神經網路的自學習功能，可以使得在控制當中不斷校正和修改在訓練時由於樣本不足造成的缺憾。 -
Because too much samples for training artificial neuron network are demanded, uniform design method is used to produce samples in order to reduce the amount of samples in the process of structural damage simulation
針對訓練神經網路需要大量樣本的情況，在結構損傷模擬的試驗方案設計中，選用了均勻設計法構造樣本以減少所需樣本數量。 -
The application environment of artificial neuron network ( ann ) is very complex, and ann is always used to deal with a great lot data, so ann needs very powerful computational ability. then, we introduce grid and distribution conception into ann computational platform. such a platform tries to construct ann computational platform with grid
由於神經網路應用環境的復雜性及要求處理大量數據的問題，從而神經網路計算需要超強的計算能力，因此在神經網路計算平臺中引入了網格和分散式的思想，力圖建立一個基於網格的神經網路計算平臺。
分享友人