IEEE - Institute of Electrical and Electronics Engineers, Inc. - Shape of error surfaces in SpikeProp

2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence)

Author(s): Masaru Fujita ; Haruhiko Takase ; Hidehiko Kita ; Terumine Hayashi
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 June 2008
Conference Location: Hong Kong, China
Conference Date: 1 June 2008
Page(s): 840 - 844
ISBN (CD): 978-1-4244-1821-3
ISBN (Paper): 978-1-4244-1820-6
ISSN (Electronic): 2161-4407
ISSN (Paper): 2161-4393
DOI: 10.1109/IJCNN.2008.4633895
Regular:

In this paper, we discuss the shape of error surfaces, which represent error depending on parameters, in Spiking Neural Networks for SpikeProp. SpikeProp is a learning algorithm that adjusts... View More

Advertisement