2019亚洲日韩新视频_97精品在线观看_国产成人精品一区二区_91精品网站在线观看

International Journal of Machine Learning and Cybernetics

International Journal of Machine Learning and Cybernetics期刊基本信息

  • 簡(jiǎn)稱:INT J MACH LEARN CYB
  • 大類:工程技術(shù)
  • 小類:計(jì)算機(jī):人工智能
  • ISSN:1868-8071
  • IF值:3.844
  • 是否SCI:SCIE
  • 是否OA:No
  • 出版地:GERMANY
  • 年文章數(shù):155
投稿咨詢

International Journal of Machine Learning and Cybernetics中文簡(jiǎn)介

控制論涉及到描述我們?nèi)粘I钪袩o所不在的系統(tǒng)之間復(fù)雜的相互作用和相互關(guān)系。機(jī)器學(xué)習(xí)發(fā)現(xiàn)系統(tǒng)中變量和變量集合之間的基本函數(shù)關(guān)系。機(jī)器學(xué)習(xí)和控制論學(xué)科的融合旨在通過不同的數(shù)據(jù)學(xué)習(xí)機(jī)制發(fā)現(xiàn)系統(tǒng)之間的各種形式的交互作用。國際機(jī)器學(xué)習(xí)與控制論雜志(IJMLC)關(guān)注機(jī)器學(xué)習(xí)與控制論結(jié)合處出現(xiàn)的關(guān)鍵研究問題,并作為快速傳播該領(lǐng)域最新進(jìn)展的廣泛論壇。IJMLC的重點(diǎn)是機(jī)器學(xué)習(xí)和控制論方案的混合開發(fā),這些方案受工程、數(shù)學(xué)、認(rèn)知科學(xué)和應(yīng)用等不同貢獻(xiàn)學(xué)科的啟發(fā)。與機(jī)器學(xué)習(xí)和控制論所有方面相關(guān)的新思想、設(shè)計(jì)備選方案、實(shí)現(xiàn)和案例研究屬于IJMLC的范圍。該期刊將涵蓋的主要研究領(lǐng)域包括:用于系統(tǒng)間交互建模的機(jī)器學(xué)習(xí)支持系統(tǒng)環(huán)境交互發(fā)現(xiàn)的模式識(shí)別技術(shù)系統(tǒng)環(huán)境交互控制生物和生物激發(fā)系統(tǒng)中的生物化學(xué)相互作用學(xué)習(xí)改進(jìn)系統(tǒng)間通信方案

International Journal of Machine Learning and Cybernetics英文簡(jiǎn)介

Cybernetics is concerned with describing complex interactions and interrelationships between systems which are omnipresent in our daily life. Machine Learning discovers fundamental functional relationships between variables and ensembles of variables in systems. The merging of the disciplines of Machine Learning and Cybernetics is aimed at the discovery of various forms of interaction between systems through diverse mechanisms of learning from data.The International Journal of Machine Learning and Cybernetics (IJMLC) focuses on the key research problems emerging at the junction of machine learning and cybernetics and serves as a broad forum for rapid dissemination of the latest advancements in the area. The emphasis of IJMLC is on the hybrid development of machine learning and cybernetics schemes inspired by different contributing disciplines such as engineering, mathematics, cognitive sciences, and applications. New ideas, design alternatives, implementations and case studies pertaining to all the aspects of machine learning and cybernetics fall within the scope of the IJMLC.Key research areas to be covered by the journal include:Machine Learning for modeling interactions between systemsPattern Recognition technology to support discovery of system-environment interactionControl of system-environment interactionsBiochemical interaction in biological and biologically-inspired systemsLearning for improvement of communication schemes between systems

國際期刊推選 論文翻潤(rùn)預(yù)審發(fā)表!

選擇豐富服務(wù)快速通過率高一鍵快速領(lǐng)取私人專屬發(fā)表方案!

* 請(qǐng)認(rèn)真填寫需求信息,學(xué)術(shù)顧問24小時(shí)內(nèi)與您取得聯(lián)系。

主站蜘蛛池模板: 龙里县| 加查县| 晋州市| 铁力市| 咸丰县| 刚察县| 阿合奇县| 灌阳县| 梁河县| 芦山县| 吉安县| 吉水县| 文化| 万盛区| 台北市| 镇远县| 新晃| 麻栗坡县| 海淀区| 黎川县| 林芝县| 商都县| 新野县| 云南省| 漳平市| 延吉市| 鄢陵县| 济源市| 金溪县| 锡林浩特市| 贵阳市| 高阳县| 贵德县| 鄂伦春自治旗| 南丹县| 宣武区| 徐州市| 万载县| 荆门市| 平安县| 韩城市|