Distributed Fuzzy Learning Using The MULTISOFT Machine  

Oleh:

Russo, M.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: IEEE Transactions on Neural Networks vol. 12 no. 3 (2001), page 475-484.
Topik: fuzzy learning classifiers; fuzzy learning; MULTISOFT; machines

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: II36.5 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

Describes PARGEFREX, a distributed approach to genetic - neuro - fuzzy learning which has been implemented using the MULTISOFT machine, a low - cost form of personal computers built at the University of Messina. The performance of the serial version is hugely enhanced with the simple parallelization scheme described in the paper. Once a learning dataset is fixed, there is a very high super linear speedup in the average time needed to reach a prefixed learning error, i. e., if the number of personal computers increases by n times, the mean learning time becomes less than 1 / n times.

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