Mạng thần kinh thường xuyên cho dự đoán P12

Exploiting Inherent Relationships Between Parameters in Recurrent Neural Networks Perspective Optimisation of complex neural network parameters is a rather involved task. It becomes particularly difficult for large-scale networks, such as modular networks, and for networks with complex interconnections, such as feedback networks. Therefore, if an inherent relationship between some of the free parameters of a neural network can be found, which holds at every time instant for a dynamical network, it would help to reduce the number of degrees of freedom in the optimisation task of learning in a particular network. ...