Problem of selection of proper architecture for neural network

Problem of selection of proper architecture for neural network

Ryszard Tadeusiewicz

AGH University of Science and Technology, al. Adama Mickiewicza 30, 30-059 Kraków.

DOI:

https://doi.org/10.7494/cmms.2001.1.0001

Abstract:

Review of problems connected with applications of artificial neural networks in generally understood metallurgy is discussed in the paper. Conditions, which particular tasks impose on the selection of the network architecture, are pointed out. These suggestions, connected with earlier Author’s research on training the networks, are a useful guide for further experiments aiming at an application of the artificial neural networks as a tool for solving of various problems in metallurgy. Scientific basis for practical metallurgical applications is given in the paper

Cite as:

Tadeusiewicz, R. (2001). Problem of selection of proper architecture for neural network. Computer Methods in Materials Science, 1(1), 3 – 22. https://doi.org/10.7494/cmms.2001.1.0001

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