Abstract:
This paper proposes an efficient learning method for the layered neural networks based on the selection of training data. The multilayer neural network is widely used due to its simple structure. When learning objects are complicated, the problems, such as unsuccessful learning or a significant time required in learning, remain unsolved. The aims of this paper are to suggest solutions of these problems and to reduce the total learning time.
Reference this Research Paper (copy & paste below code):
Isao Taguchi, Yasuo Sugai (2018); A Multi-stage Learning Method with the Selection of Training Data for the Layered Neural Networks;
Int J Sci Res Publ 3(4) (ISSN: 2250-3153). http://www.ijsrp.org/research-paper-0413.php?rp=P161064