Indian Journal of Artificial Intelligence and Neural Networking (IJAINN) is bi-monthly international journal, being published in the months of January, March, May, July, September and November by Lattice Science Publication (LSP) Bhopal (M.P.), India since year 2020. It is academic, online, open access, peer reviewed international journal. It aims to publish original, theoretical and practical adv
ances in Artificial Intelligence and Neural Networking that covers Neural Networks, Fuzzy Logic, Simulated Biological Evolution Algorithms (Like Genetic Algorithm), Ant Colony Optimization(etc), Reasoning and Evolution, Intelligence Applications, Computer Vision and Speech Understanding, Multimedia and Cognitive Informatics, Data Mining and Machine Learning Tools, Heuristic and Ai Planning Strategies and Tools, Computational Theories of Learning, Technology and Computing (Like Particle Swarm Optimization), Intelligent System Architectures, Knowledge Representation, Bioinformatics, Natural Language Processing, Multiagent Systems, Supervised Learning, Unsupervised Learning, Deep Learning, Big Data and Ai Approaches, Reinforcement Learning, And Learning with Generative Adversarial Networks. All submitted papers will be reviewed by the board of committee of IJAINN. The aim of the journal is to disseminate original, scientific, theoretical or applied research in the field of artificial intelligence and neural networking fields, to dispense a platform for publishing results and research with a strong empirical component, to aqueduct the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research, to seek original and unpublished research papers based on theoretical or experimental works for the publication globally, to publish original, theoretical and practical advances in artificial intelligence and neural networking, to impart a platform for publishing results and research with a strong empirical component, to create a bridge for significant gap between research and practice by promoting the publication of original, novel, industry-relevant research, to solicit original and unpublished research papers, based on theoretical or experimental works.
