期刊簡介預(yù)計(jì)審稿時間：

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 systems

Pattern Recognition technology to support discovery of system-environment interaction

Control of system-environment interactions

Biochemical interaction in biological and biologically-inspired systems

Learning for improvement of communication schemes between systems

控制論涉及描述我們?nèi)粘Ｉ钪袩o處不在的系統(tǒng)之間的復(fù)雜交互和相互關(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)科的融合旨在通過從數(shù)據(jù)中學(xué)習(xí)的各種機(jī)制發(fā)現(xiàn)系統(tǒng)之間的各種交互形式。

《國際機(jī)器學(xué)習(xí)和控制論雜志》（IJMLC）專注于機(jī)器學(xué)習(xí)和控制論交匯處出現(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)是受工程、數(shù)學(xué)、認(rèn)知科學(xué)和應(yīng)用等不同學(xué)科啟發(fā)的機(jī)器學(xué)習(xí)和控制論方案的混合開發(fā)。與機(jī)器學(xué)習(xí)和控制論所有方面相關(guān)的新想法、設(shè)計(jì)方案、實(shí)現(xiàn)和案例研究都屬于 IJMLC 的范圍。

該期刊涵蓋的關(guān)鍵研究領(lǐng)域包括：

用于建模系統(tǒng)間交互的機(jī)器學(xué)習(xí)

用于支持發(fā)現(xiàn)系統(tǒng)-環(huán)境交互的模式識別技術(shù)

系統(tǒng)-環(huán)境交互的控制

生物和生物啟發(fā)系統(tǒng)中的生化相互作用

用于改進(jìn)系統(tǒng)間通信方案的學(xué)習(xí)

《International Journal Of Machine Learning And Cybernetics》(國際機(jī)器學(xué)習(xí)與控制論雜志)編輯部通訊方式為TIERGARTENSTRASSE 17, HEIDELBERG, GERMANY, D-69121。如果您需要協(xié)助投稿或潤稿服務(wù)，您可以咨詢我們的客服老師。我們專注于期刊咨詢服務(wù)十年，熟悉發(fā)表政策，可為您提供一對一投稿指導(dǎo)，避免您在投稿時頻繁碰壁，節(jié)省您的寶貴時間，有效提升發(fā)表機(jī)率，確保SCI檢索（檢索不了全額退款）。我們視信譽(yù)為生命，多方面確保文章安全保密，在任何情況下都不會泄露您的個人信息或稿件內(nèi)容。