The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Application of artificial neural network (ANN) technique to the formulation design of BaTiO 3 based dielectrics was carried through. Based on the homogenous experimental design the experimental results of 21 samples were analyzed by a three-layer back propagation (BP) network modeling. The results were also expressed and analyzed by intuitive graphics. Influence of Co 2 O 3 and Li 2 CO 3 on the dielectric constant-temperature characteristic of BaTiO 3 -Nb 2 O 5 -La 2 O 3 -Sm 2 O 3 system was investigated. Optimized formulations were calculated and the optimized output values were in accordance with experiment results. It follows that the three-layer back propagation network based modeling proved to be a very useful tool in dealing with problems with serious non-linearity encountered in the formulation design of dielectric ceramics.