Batch-Learning Self-Organizing Map with False-Neighbor Degree Between Neurons

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{Matsushita:2008:ijcnn,

• author = "Haruna Matsushita and Yoshifumi Nishio",
• title = "Batch-Learning Self-Organizing Map with False-Neighbor Degree Between Neurons",
• booktitle = "2008 IEEE World Congress on Computational Intelligence",
• year = "2008",
• editor = "Jun Wang",
• pages = "2259--2266",
• address = "Hong Kong",
• month = "1-6 " # jun,
• organization = "IEEE Computational Intelligence Society",
• publisher = "IEEE Press",
• isbn13 = "978-1-4244-1821-3",
• file = "NN0660.pdf",
• DOI = "doi:10.1109/IJCNN.2008.4634110",
• abstract = "This study proposes a Batch-Learning Self- Organising Map with False-Neighbor degree between neurons (called BL-FNSOM). False-Neighbor degrees are allocated between adjacent rows and adjacent columns of BL-FNSOM. The initial values of all of the false-neighbor degrees are set to zero, however, they are increased with learning, and the false neighbour degrees act as a burden of the distance between map nodes when the weight vectors of neurons are updated. BLFNSOM changes the neighbourhood relationship more flexibly according to the situation and the shape of data although using batch learning. We apply BL-FNSOM to some input data and confirm that FN-SOM can obtain a more effective map reflecting the distribution state of input data than the conventional Batch-Learning SOM.",
• keywords = "genetic algorithms, genetic programming",
• notes = "WCCI 2008 - A joint meeting of the IEEE, the INNS, the EPS and the IET.",

}

Genetic Programming entries for Haruna Matsushita Yoshifumi Nishio

Citations