مقاله قابلیت های یادگیری ماشینی مخچه شبیه سازی شده

عنوان مقاله فارسی: قابلیت های یادگیری ماشینی مخچه شبیه سازی شده عنوان مقاله لاتین: Machine Learning Capabilities of a Simulated Cerebellum نویسندگان: Matthew Hausknecht; Wen-Ke Li; Michael Mauk; Peter Stone تعداد صفحات: 12 سال انتشار: 2017 زبان: لاتین Abstract: This paper describes the learning and control capabilities of a biologically constrained bottom-up model of the mammalian cerebellum. Results are presented from six tasks: 1) eyelid conditioning; 2) pendulum balancing; 3) proportional-integral-derivative control; 4) robot balancing; 5) pattern recognition; and 6) MNIST handwritten digit recognition. These tasks span several paradigms of machine learning, including supervised learning, reinforcement learning, control, and pattern recognition. Results over these six domains indicate that the cerebellar simulation is capable of robustly identifying static