The shape of the powder particles consists of equiaxially shaped grains with an average size of 0.44 m as calculated from image analysis of at least 5 scanning electron micrographs.
Minitab 15.0 software#
In general, the proposed approach can be used for tuning neural network parameters in solving other problems. The D 10, D 50, and D 90 values corresponding to the size distribution of the NBT powder are 0.15, 0.48, and 1.56 m, respectively. If you plan to mass deploy utilizing a software asset management tool, please download the Minitab Mass Deployment Package.
Minitab 15.0 license#
The client must have the ARMLMDLICENSEFILE environment variable set and pointing at the correct server or a local copy of the license including the servers details. The results show that the designed ANN, according to the proposed procedure, has a better performance than other networks by random selected parameters and also parameters which are selected by the Taguchi method. Cause: Resolution: The client has not been configured to obtain the license from the server.
For this purpose, the proposed method has been illustrated by the numerical example of a well known mathematical function. Then the Genetic Algorithm has been proposed to find optimal parameter status. Moreover, central composite design has been used to design experiments and also analyze network behavior according to identified parameters, by using the overall desirability function. In this study, three artificial neural network performance measuring criteria and also three important factors which affect the selected criteria have been studied. The main problem in using ANN is parameter tuning, because there is no definite and explicit method to select optimal parameters for the ANN parameters. control groups was analyzed by Kruskal-Wallis method and then by Mann-Whitney method using Minitab 15.0 (Minitab Inc., State College, PA, USA) program.
An artificial Neural Network (ANN) is an efficient approach applied to solving a variety of problems.