bci 中文意思是什麼
bci
解釋
安安婦嬰保險-
Experimental methods and some key techniques of brain - computer interface ( bci ) are introduced in this paper. the further discussion is mainly focused on the research of practical bcis
摘要介紹了腦機介面的實驗研究方法及關鍵技術的研究進展，並對未來實用型腦機介面的研究進行展望。 -
The foremost thing for the bci is to acquire the brain signals. nowadays the electroencephalographic ( eeg ) is the optimal choice for the bci due to its no damage, feasibility and low cost
腦機介面首先要解決獲取大腦意識活動的問題，腦電信號因為其無損傷、獲取方便和成本低，是目前最理想的選擇。 -
The first part introduces the meaning that we establish bci. the second part outlines the bci history and introduces the present condition in our country. a shortcoming hi the bcis is that they do n ' t take into account the time difference of different indexes
第二章介紹了景氣指數編制的歷史，並對我國目前的有關景氣指數作了簡單介紹，我國目前眾多的景氣指數中，一個很大的缺點就是沒有對指標進行時差劃分，我們解決了這一問題，在北京市投資景氣指數的各指標中進行了時間劃分，編制了較為理想的景氣指數。 -
Bci road vehicles - component test methods for electrical disturbances from narrowband radiated electromagnetic energy - bulk current injection
道路車輛.窄帶輻射電磁能量產生的電干擾用部件試驗方法.大容量電流注入 -
Improving the recognition rate of eeg in bci based on genetic algorithm and probabilistic neural network
基於遺傳演算法和概率神經網路提高腦機介面中腦電信號識別率 -
Stimulation system for bci is to put some external stimulation to induce certain eeg
腦機介面刺激系統的作用是通過對受試者施加一定的外界刺激來誘發具有一定特徵的腦電波。 -
Finally, directions and targets in our further work about bci especially the signal processing part are suggested
最後就腦機介面特別是信號處理部分的研究提出了下一步工作的內容及目標。 -
Brain computer interface ( bci ) is a communication system in which messages that a user wishes to convey pass not through the brain ' s normal output pathways
摘要腦機介面（ bci ）是在人腦和外界之間建立不依賴于常規大腦信息輸出通路的一種通訊系統。 -
Then data sets provided by the bci competitions are analyzed, and features of erp and the applicability and ability of the methods are understood better
在參加第三屆國際腦機介面競賽的過程中，提出了t加權的特徵提取方法和分類器設計的強化學習方法。 -
To meet the need of the practicality, a bci system should have the following characters : long term working, stabilization, reliability, real time and convenience
長期、穩定、可靠、實時和方便使用是腦機介面走向實用的發展要求。系統的諸多方面體現了這些要求。 -
In this study, two instruments - biological concept inventory ( bci ) and student backgrounds survey ( sbs ) - were utilized to investigate the relationships of biology concept growth, and backgrounds, learning and teaching variables
摘要本研究利用生物概念診斷測驗和學生背景調查表調查280位國一學生，生物概念成長情形和其背景、學習和教學因素的關系，藉以分析不同的背景、學習和教學之下，學生的生物概念成長差異。 -
Using several different mental tasks ’ conversions to change control mode was one of implements of bci. beside the data acquisition device, this system requires many specific mental tasks and advanced signal processing methods
這種bci的實現除基本的腦電信號採集設備外，還需要一些特定的，切實可分的心理作業以及先進的信號處理方法，另外分類器的選擇也至關重要。 -
And unlike bci interfaces and many of the military applications, this does not call for brain sensors, he says
並且，他說，不像bci和許多軍事應用實例，這種能力不要求大腦傳感器。 -
As a preparative study, this paper is focused on the theory and algorithm of signal processing in bci system
本文作為前期性研究，主要開展了bci系統中信號處理的理論及演算法方面的研究工作。 -
In this article a visual stimulation system with a number of stimulating patterns for bci realized is described, and three stimulation patterns, for vep, p300, and motor imagery on the computer screen realized is described by computer programming
本研究基於多種刺激模式的腦機介面視覺刺激器，採用計算機編程，在計算機屏幕上實現了基於vep 、 p300 、想象運動的3類刺激模式。 -
When taking part in the bci competition iii, t - weighted approach for feature extraction and reinforcement learning of classifier design are proposed. compared to other methods, t - weight approach has the advantages of requiring less a prior knowledge, exploring more information and computing faster. reinforcement learning is an optimization method both model driven and data driven aiming at mining the discriminative information as more as possible, and improving both the fitting and generalization ability of an existing classifier
相比其它特徵提取方法， t加權方法具有對先驗知識要求少、信息利用充分、計算快速等優點;而分類器設計的強化學習方法是模型驅動與數據驅動相結合的一種分類器優化方法，其思想在於充分挖掘樣本判別信息，在已有分類器基礎上進一步提高對數據的擬合能力及泛化能力。 -
A brain ? computer interface ( bci ) system controls the interrelated devices based on the features extracted from the brain signals. it is a communication system that does not depend on the brain ’ s normal output pathways of peripheral nerves and muscles
腦機介面系統通過獲取大腦活動信號，提取出特徵量並藉此驅動和控制相關設備工作，它是一個不依賴于外周神經和肌肉等通常的大腦輸出通道的通訊系統。
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