Generating and Coding of Fractal Graphs By Neural Network and Mathematical Morphology Methods  

Oleh:

Zhang, Ling ; Zhang, Bo ; Chen, Gang

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: IEEE Transactions on Neural Networks vol. 7 no. 2 (1996), page 400-407.
Topik: Fractal; generating; coding; fractal graphs; neural network; mathematical mrophology

Ketersediaan

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

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Isi artikel

We present an algorithm for generating a class of self - similar (fractal) graphs using simple probabilistic logic neuron networks and show that the graphs can be represented by a set of compressed encoding. An algorithm for quickly finding the coding, i. e., recognizing the corresponding graphs, is given and the coding are shown to be optimal (i. e., of minimal length). The same graphs can also be generated by a mathematical morphology method. These results may possibly have applications in image compression and pattern recognition.

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