The journal devotes its attention dominantly to the problems of: brain science, theory and applications of neural networks (both artificial and natural), fuzzy-neural systems, methods and applications of evolutionary algorithms, Artificial neural networks. Top Journals for Machine Learning & Artificial Intelligence. A Dual-Dimer method for training physics-constrained neural networks with minimax architecture Dehao Liu, Yan Wang In Press, Journal Pre-proof, Available online 7 January 2021 The Journal publishes technical articles on various aspects of artificial neural networks … Neural Network World is a bimonthly journal providing the latest developments in the field of informatics. Neural Networks is the archival journal of the world's three oldest neural modeling societies: the International Neural Network Society (INNS), the European Neural Network Society (ENNS), and the Japanese Neural Network Society (JNNS). However, very few journals with high impact factor journals highly recognized by the scientific community. Journal Citation Reports (Clarivate Analytics, 2020) 5-Year Impact Factor: 7.309 ℹ Five-Year Impact Factor: 2019: 7.309 American Journal of Neural Networks and Applications (AJNNA) as a miscellany of relevant scientific articles on the results of research carried out in laboratories in different countries, including the theory of neural networks and the practical implementation of drafts in different directions of science and technology. Neural Processing Letters is an international journal that promotes fast exchange of the current state-of-the art contributions among the artificial neural network community of researchers and users. IEEE Transactions on Neural Networks and Learning Systems publishes technical articles that deal with the theory, design, and applications of neural networks and related learning systems.. A subscription to the journal is included with membership in each of these societies. The articles in this journal are peer reviewed in accordance with the requirements set forth in the IEEE PSPB Operations Manual (sections 8.2.1.C & 8.2.2.A). The impact factor (IF) 2018 of Artificial Neural Networks - Methods and Applications in Bio-/Neuroinformatics is 0.00, which is computed in 2019 as per it's definition. Impact Factor: 5.535 ℹ Impact Factor: 2019: 5.535 The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. Artificial Neural Network systems are a group of factual learning models motivated by natural neural systems the focal sensory systems of creatures, specifically the and are utilized to gauge or surmised capacities that can rely on upon a substantial number of inputs and are for the most part obscure. Applied Intelligence (APIN) has published 29 years of cutting-edge scholarly research and will be celebrating 30 years in 2021 with a selection of papers to commemorate this event.The Journal, with a 2019 Impact Factor of 3.325, has published over 2,000 articles in artificial intelligence and related areas, which have been indexed and downloaded widely. When it comes to journal publications, many publications are available in the area of AI and Machine Learning(ML). The Ranking of Top Journals for Computer Science and Electronics was prepared by Guide2Research, one of the leading portals for computer science research providing trusted data on scientific contributions since 2014. In this article, ilovephd provides the top High Impact Factor Artificial Intelligence(AI) Journals with H5 index detail.
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