Learning & NonLinear Models

ISSN: 1676-2789

Sem títuloLearning & Nonlinear Models (L&NLM) is a scientific journal managed by ABRICOM (Brazilian Association of Computational Intelligence, formerly,  Sociedade Brasileira de Redes Neurais – SBRN). The journal is published online since 2003 and aims at publishing research and survey papers about all areas of Computational Intelligence (CI) and Non-Linear Systems (NLS). The journal accepts papers reporting theoretical advancements and application papers in the areas of CI & NLS, such as: neural networks, deep learning, evolutionary computation, fuzzy systems, swarm intelligence, machine learning, data mining, time-series modelling, chaotic systems, robotics, systems identification, control of non-linear systems, signal and image processing, etc. Surveys of the above-mentioned topics are wellcome.

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