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Characteristic Analysis of Building Surface Material Combination
| Content Provider | Scilit |
|---|---|
| Author | Wang, Yao |
| Copyright Year | 2018 |
| Description | Journal: Iop Conference Series: Earth and Environmental Science To study the composition of building materials, the composition and characteristics of building surface materials are analyzed. Based on the MPIRAN algorithm, 157 sets of samples are selected, of which 130 are used for study and the 27 is used for verification. Before modeling, all the sample inputs are normalized to the [0,1] range, and the mean error function is used to test the output error of the network. The commonly used RAN learning algorithm is compared with MPIRAN to verify its superiority. The simulation results show that MPIRAN learning algorithm is suitable for the classification of building materials. Compared with the other learning methods, it can also significantly reduce the number of hidden nodes in the network. Based on the above findings, it is concluded that the MPIRAN algorithm can reduce the network structure and improve the learning ability and calibration ability of the network, so that the correct classification of samples can be realized. |
| Related Links | http://iopscience.iop.org/article/10.1088/1755-1315/108/2/022009/pdf |
| ISSN | 17551307 |
| e-ISSN | 17551315 |
| DOI | 10.1088/1755-1315/108/2/022009 |
| Journal | Iop Conference Series: Earth and Environmental Science |
| Issue Number | 2 |
| Volume Number | 108 |
| Language | English |
| Publisher | IOP Publishing |
| Publisher Date | 2018-01-01 |
| Access Restriction | Open |
| Subject Keyword | Journal: Iop Conference Series: Earth and Environmental Science Characterization and Testing of Materials |
| Content Type | Text |
| Resource Type | Article |
| Subject | Earth and Planetary Sciences Physics and Astronomy Environmental Science |
