Evolutionary Learning of Nearest-Neighbor MLP  

Oleh:

Higuchi, T. ; Zhao, Qiangfu

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: IEEE Transactions on Neural Networks vol. 7 no. 3 (1996), page 762-767.
Topik: LEARNING; evolutionary; learning; neighbor MLP

Ketersediaan

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

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Isi artikel

The nearest - neighbor multilayer perceptron (NN - MLP) is a single - hidden - layer network suitable for pattern recognition. To design an NN - MLP efficiently, this paper proposes a new evolutionary algorithm consisting of four basic operations : recognition, remembrance, reduction, and review. Experimental results show that this algorithm can produce the smallest or nearly smallest networks from random initial ones.

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