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基于科學(xué)計(jì)量的世界人工智能領(lǐng)域發(fā)展?fàn)顩r分析

發(fā)布時(shí)間:2018-11-11 15:27
【摘要】:分析了人工智能領(lǐng)域近15年的發(fā)展?fàn)顩r,預(yù)測(cè)了未來(lái)的發(fā)展趨勢(shì),幫助研究人員快速掌握領(lǐng)域概況。運(yùn)用SciMAT軟件進(jìn)行關(guān)鍵詞共現(xiàn)分析,利用生成的主題演化圖、戰(zhàn)略圖揭示發(fā)展?fàn)顩r及子領(lǐng)域成熟度,預(yù)測(cè)未來(lái)發(fā)展趨勢(shì)。2002-2016年,人工智能領(lǐng)域發(fā)文量及關(guān)鍵詞總數(shù)總體呈上升趨勢(shì),說(shuō)明該領(lǐng)域發(fā)展勢(shì)態(tài)良好。隨時(shí)間推移,各階段類(lèi)團(tuán)數(shù)增多,說(shuō)明該領(lǐng)域多方面發(fā)展。神經(jīng)網(wǎng)絡(luò)、智能機(jī)器人一直是人工智能領(lǐng)域研究的熱點(diǎn),且研究規(guī)模隨著時(shí)間的推移不斷擴(kuò)大并逐步走向成熟。人工智能正發(fā)生從理論到應(yīng)用的轉(zhuǎn)變;神經(jīng)網(wǎng)絡(luò)、智能機(jī)器人將會(huì)是未來(lái)人工智能領(lǐng)域發(fā)展的熱門(mén)。
[Abstract]:This paper analyzes the development of artificial intelligence in the past 15 years, predicts the future development trend, and helps researchers to grasp the general situation of the field quickly. Using SciMAT software to carry out keyword co-occurrence analysis, using generated thematic evolution map, strategic map to reveal the development situation and sub-domain maturity, forecast the future development trend. The number of papers and the total number of keywords in the field of artificial intelligence are on the rise, indicating that the development of this field is good. As time goes on, the number of clusters in each stage increases, indicating that there are many developments in this field. Neural network, intelligent robot has been the research hotspot in the field of artificial intelligence, and the scale of the research has been expanded and gradually matured with the passage of time. Artificial intelligence is changing from theory to application, and neural network, intelligent robot will be a hot topic in the field of artificial intelligence in the future.
【作者單位】: 中國(guó)科學(xué)技術(shù)信息研究所;
【基金】:國(guó)家社會(huì)科學(xué)基金項(xiàng)目:國(guó)內(nèi)外主要學(xué)科分類(lèi)體系的集成映射實(shí)證研究(16BTQ077) 中國(guó)科學(xué)技術(shù)信息研究所創(chuàng)新研究基金面上項(xiàng)目(MS2017-01) 中信所重點(diǎn)工作項(xiàng)目(ZD2017-14)資助
【分類(lèi)號(hào)】:G353.1;TP18

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1 張洋;放松管制市場(chǎng)下基于人工智能的電價(jià)預(yù)測(cè)方法研究[D];蘭州大學(xué);2017年

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本文編號(hào):2325275

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