neural interface 中文意思是什麼
neural interface
解釋
神經介面：[統一場物理][生化間諜，生物存儲晶元，虛擬感覺中樞-
Such words might serve as the building blocks for a neural interface, much as particularly discriminable english words were favored in the early, limited - vocabulary protocols of voice - processing software
這些字可以做為神經界面的基石，一如發展語音處理程式的早期，用來做為辨識規則的少數幾個發音清晰的字。 -
However, according to ann ' s theory, making use of visual basic development tool, friendly - interface single output three layers " artificial neural network generator base on improved bp algorithm has been developed by the author, and after constructing the model, the value of d _ ( cmax ), finally the gross bed - load transport rate of non - uniform sediment with a wide distribution in flume experiment of stead sediment transportation have been forecasted
筆者採用的途徑則是根據人工神經網路理論，利用vb開發出界面友好、基於改進bp演算法的多輸入單輸出三層神經網路生成器軟體，並採用該生成器建模，對平衡輸沙狀態下的水槽輸沙試驗的d _ （ cmax ）和總輸沙率進行預測計算。 -
Based on the analysis and processing of the digital speckle pattern, the translation and rotation invariant features are discovered, and a one - step feed - forward neural network is creatively proposed which makes it possible to realize the intelligent recognition of interface defects
通過對數學散斑條紋的分析與處理，找出了能代表條紋信息的移位不變與旋轉不變特徵值? ?最大斜率，進而構造一種新的網路模型，即單步前饋式三層網路系統.率先實現了把神經網路系統用在數字散斑無損檢測之中，完成了神經網路系統對粘接界面缺陷的智能辨識 -
The paper includes the contents as follows : the second chapter introduces the basic theory of bp neural network, chapter 3 puts forward a solution named divide - assemble, chapter 4 introduces the preprocessing of input population, chapter 5 introduces the basic theory of genetic algorithms, chapter 6 discusses gdr - ga algorithms, 7 part introduces the processing of atm band - width distribution dynamically and gives several program modules among them. chapter 8 introduces the interface, running and results about the software system, the last chapter summarizes research work of this dissertation and further researches arc prospected
本文主要包括以下內容：第2部分闡述bp神經網路基本理論，第3部分介紹了拆分組裝方法，第4部分主要介紹了bp神經網路輸入樣本的預處理，第5部分介紹了遺傳演算法的發展及其基本理論，第6章介紹的是最速梯度? ?遺傳演算法，第7部分介紹了atm帶寬動態分配過程、子網與總網的學習過程和其中的一些關鍵程序模塊，第8部分介紹的是該系統界面和運行情況，最後一部分總結了論文所做的工作和進一步工作設想。 -
It also serves as the basis for the development of neural prosthetic devices and brain - machine interface
該學科也是神經修復和腦機介面研究的基礎。 -
The first part introduces a neural - fuzzy controller based on rbf neural network with application to the course control of ships. the second part describes a design method for a data interface system, which is a subsystem of the project named integrated bridge system ( ibs ) sponsored by the chinese ministry of communication. the third part presents an energy - saving auto - explain & light control system used in museums
本文由三部分組成：第一部分側重理論研究，提出了一種基於rbf網路的船舶航向神經模糊控制器的設計；第二部分側重計算機網路通訊，介紹了交通部重點項目「綜合船舶監控系統」數據介面子系統的設計；第三部分側重單片機應用，介紹了自動解說及節能燈光控制系統的設計。 -
Realization of improved bp algorithm - single output three layers " artificial neural network generator base on improved bp algorithm has been developed by the author, and the generator has some functions that the number of neuron in first and second layer and theirs related training parameters such as learning rate. momentum factor a and the value of sum error e can all be self - defined by the users ; connection weights and threshold in each layer ' s neuron training data and teaching signals can also be input or modified in the friendly interface
生成器功能是:網路結構中的第一、二層神經元個數和訓練參數中的學習速率粉，動量因子a和期望誤差值:可由用戶在一定范圍內自定義;各層的權值、閥值、網路初始樣本值及教師值可在友好的界面下輸入、修改。 -
Theoretically, we can calculate the transfer matrix between cube frame and robot - tool frame, because the relative position between marker cube and guiding robot is fixed. but error of mechanical interface is too serious to accomplish locking hole. we solve this problem by using neural net
針對導航機器人的標定盒與機器人之間存在加工和安裝尺寸誤差，導致標定盒坐標系與機器人工具坐標系之間坐標轉換不準確的問題，採用神經網路方法建立坐標轉換模型，從而規避了標定盒與機器人介面的機械誤差問題，實現兩坐標系之間的轉換。 -
First, features of ncrna were summed up to serve as input for data mining procedures later on. second, statistics toolbox and artificial neural networks toolbox of matlab were used to carry out principal components analysis and artificial neural network training. finally, user prediction was designed in visual c + + while matcom served as interface between matlab and vc to complete the user prediction program
首先利用生物學實驗數據總結出ncrna的特徵，作為數據挖掘方法的輸入；然後在matlab環境下用統計工具箱和神經網路工具箱對輸入的特徵進行主成分分析和神經網路訓練，用訓練好的網路去預測ncrna ；最後，為了實現通用性，運用matcom介面與vc實現windows下供用戶實際使用的預測程序。 -
In the thesis, how to use the backpropagation training functions in the matlab toolbox to train feedforward neural networks to solve specific problems is explained. besides that, how to design the interface between matlab and delphi is presented
本文在簡要介紹了bp神經網路基本原理及其演算法的基礎上，詳細介紹了利用matlab神經網路工具箱進行bp網路模型建立、訓練、模擬的編程方法。 -
The system consists of graphic user ' s interface module, sample processing module, neural network structural module and neural network computing module
該系統主要由以下模塊構成：用戶界面模塊、網路模型模塊、樣本處理模塊、神經網路計算模塊以及神經網路訓練結果顯示模塊。 -
Abstract : this paper has given a thorough investigation into theapplication of bp neural network to gravitational density interface inversion as well as the implementation of wavelet theory in potential field decomposition and, on such a basis, analysed and evaluated the prospect of applying wavelet neural network to the inversion of gravitational and magnetic data
文摘:對bp神經網路在重力密度界面反演以及小波分析在位場分離上的應用進行了深入的研究，進而對小波神經網路在重磁資料反演中的應用前景進行了分析、評價。 -
This paper has given a thorough investigation into the application of bp neural network to gravitational density interface inversion as well as the implementation of wavelet theory in potential field decomposition and, on such a basis, analysed and evaluated the prospect of applying wavelet neural network to the inversion of gravitational and magnetic data
摘要對bp神經網路在重力密度介面反演以及小波分析在位場分離上的應用進行了深人的研究，進而對小波神經網路在重磁資料反演中的應用前景進行了分析、評價。
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