Research on the Impact of Climate Cactors on Wood Width Based on the Improved RBF Model

Qi Yue; Zhuo Ran Lv; Xue Mei Guan

doi:10.4028/www.scientific.net/AMR.461.717

Paper Titles

Hybrid Spectral Clustering Algorithm and its Application in Cost Index Estimation
p.695

The Application Research of the Matrix in Multi-Parameter Measurement FBGs
p.702

Design of the Video Image Acquisition System Based on ADSP-BF561
p.707

Design of the Magnetic Separation Column Overflow Liquid Surface Monitoring System Based on Digital Image
p.712

Research on the Impact of Climate Cactors on Wood Width Based on the Improved RBF Model
p.717

Optimization of the Hot Forming Processes for the Connecting Rod
p.721

Taipei Beautiful: How Does Government Policy Affect Architectural Engineering?
p.725

Pile-Soil Interaction Numerical Simulation Analysis of the Surface to Surface Contact Elements
p.733

The Presentation of Biorthogonal Non-Tensor Trivariate Wavelet Wraps in Besov Space
p.738

HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 461Research on the Impact of Climate Cactors on Wood...

Research on the Impact of Climate Cactors on Wood Width Based on the Improved RBF Model

Abstract:

Choosing cathay poplar as research object ,with the aim to reveal that how the climate change may affect the wood formation, by using the improved RBF neural network the paper studies the affects of the climate factors such as temperature, sunhine, rainfall and ground temperature on the physical properties of cathay poplar plantation and establish a prediction model finally. The simulation was carried out and the results shows that the error is less than 2.8%.

You might also be interested in these eBooks

Advanced Building Materials and Structural Engineering

View Preview

Info:

Periodical:

Advanced Materials Research (Volume 461)

Pages:

717-720

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.461.717

Citation:

Cite this paper

Online since:

February 2012

Authors:

Qi Yue, Zhuo Ran Lv, Xue Mei Guan

Keywords:

Cathay Poplar Plantation, Climate Factor, Improved BRF Neural Network, Wood Width

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Jianguo Wang and Dezhi Wang, in: Experiment on Thinning of Plantation of Cathay Poplar(Forest Survey and Design, China 2008).

Google Scholar

[2] Xuesong Yang and Xinglin Jiang, in: Analysis on Growth Yield of 9 Geographic Provenance of Dinus ussuriensis Kom (Journal of Inner Mongolia Forestry Science & Technology, China 2007).

Google Scholar

[3] Minghui Guo, Li Yan and Guangsheng Chen, in: Advances in Rearch on the Effect of Climatic Factors on Wood Characteristics (World Forestry Rearch, Chian 2005).

Google Scholar

[4] Binchini M, Frasconi P, Gori M. Learning，in: Analysis Without Local Minima in Radial Basis Function Networks (IEEE Trans. on Neural Networks, 1995).

DOI: 10.1109/72.377979

Google Scholar

[5] Luping Duan, in: Research of Data Mining Based on RBF Neural Networks. Harbin University of Science and Technology. (2007).

Google Scholar