New Recurrent Neural Architectures
نویسندگان
چکیده
This paper presents two new neural networks, the TASM (Temporal Associative Subject Memory) and the SelfRecurrent network, described as a complex types of recurrent organisms. After a short general definition of recurrent neural networks we introduce the theoretical structure of the new architectures. The paper shows two relevant applications on an medical datasets which show the good classification performances of the networks proposed. We conclude with some reflection about the concept of metalearning and capability of these architectures to act as metalearning systems. Keyword: Recurrent neural network, Dynamic system, Organism, Metalearning, Artificial Intelligence.
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