Recurrent Neural Networks: Associative Memory and Optimization
نویسندگان
چکیده
منابع مشابه
Recurrent Neural Networks: Associative Memory and Optimization
Due to feedback connections, recurrent neural networks (RNNs) are dynamic models. RNNs can provide more compact structure for approximating dynamic systems compared to feedforward neural networks (FNNs). For some RNN models such as the Hopfield model and the Boltzmann machine, the fixed-point property of the dynamic systems can be used for optimization and associative memory. The Hopfield model...
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ژورنال
عنوان ژورنال: Journal of Information Technology & Software Engineering
سال: 2011
ISSN: 2165-7866
DOI: 10.4172/2165-7866.1000104