A Knowledge-Base Generating Hierarchical Fuzzy-Neural Controller  

Oleh:

Kandadai, R. M. ; Tien, J. M.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: IEEE Transactions on Neural Networks vol. 8 no. 6 (1997), page 1531-1541.
Topik: fuzzy control; knowledge - base; hierarchical; fuzzy - neural; controller

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: II36.2 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

We present an innovative fuzzy - neural architecture that is able to automatically generate a knowledge base, in an extractable form, for use in hierarchical knowledge - based controllers. The knowledge base is in the form of a linguistic rule base appropriate for a fuzzy inference system. First, we modify Berenji and Khedkar's (1992) GARIC architecture to enable it to automatically generate a knowledge base ; a pseudosupervised learning scheme using reinforcement learning and error backpropagation is employed. Next, we further extend this architecture to a hierarchical controller that is able to generate its own knowledge base. Example applications are provided to underscore its viability.

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