Fast Neural Network Ensemble Learning Via Negative-Correlation Data Correction  

Oleh:

Kasabov, Nik ; Zeke

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: IEEE Transactions on Neural Networks vol. 16 no. 6 (Nov. 2005), page 1707-1709.
Topik: CORRECTIONS; fast; neural network; learning; negative - correlation; data correction

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: II36 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

Lihat Detail Induk

Isi artikel

This letter proposes a new negative correlation (NC) learning method that is both easy to implement and has the advantages that : 1) it requires much lesser communication overhead than the standard NC method and 2) it is applicable to ensembles of heterogenous networks.

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