| Titre : |
Evaluation of leather ecosystem based on BP neural network |
| Type de document : |
texte imprimé |
| Auteurs : |
Juan Luo, Auteur ; Cheng Shuqiang, Auteur |
| Année de publication : |
2020 |
| Article en page(s) : |
p. 63-66 |
| Note générale : |
Bibliogr. |
| Langues : |
Anglais (eng) |
| Catégories : |
Cuirs et peaux -- Industrie -- Chine
Réseaux neuronaux (informatique)
|
| Index. décimale : |
675 Technologie du cuir et de la fourrure |
| Résumé : |
The leather industry is a traditional manufacturing industry with a long history in China. In recent years, the output of China's leather industry has jumped to the first place in the world, but some problems have appeared in the rapid development.' The most serious one is the ecological environment problem, which has already seriously hindered the healthy and rapid development of China's social economy.
In this paper, we focus on the evaluation of leather ecosystem. The evaluation indexes are set up for the sub-systems of leather's ecological natural system, leather's ecological economic system and leather's ecological social system. The BP neural network optimised by a Bayesian algorithm is introduced to evaluate the leather ecosystem. The grade of leather's ecological status in the last ten years is analysed to find the problems and put forward corresponding suggestions.
The study found that the leather ecosystem had a strong self-regulation ability. Since China is a developing country, the pursuit of economic benefits is more important and urgent than the pursuit of ecological benefits, and it is difficult to realise the ideal state of the leather ecosystem at present. |
| Note de contenu : |
- A brief introduction to China's leather industry
- Methodology : Artificial neural network - BP neural network - Evaluation criteria for the leather industry - Classification of the leather ecosystem safety level - Data sources - Evaluation results of BP neural network based on Bayesian optimisation
- Table 1 : Criteria for classification of leather ecosystem safety levels
- Table 2 : Grade evaluation results of BP neural network for leather ecosystem in recent ten years |
| En ligne : |
https://drive.google.com/file/d/1WSHbtNKuRit2jq1F1zaW38PGFO6OM5a4/view?usp=drive [...] |
| Format de la ressource électronique : |
Pdf |
| Permalink : |
https://e-campus.itech.fr/pmb/opac_css/index.php?lvl=notice_display&id=33910 |
in JOURNAL OF THE SOCIETY OF LEATHER TECHNOLOGISTS & CHEMISTS (JSLTC) > Vol. 104, N° 2 (03-04/2020) . - p. 63-66
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Evaluation of leather ecosystem based on BP neural network in JOURNAL OF THE SOCIETY OF LEATHER TECHNOLOGISTS & CHEMISTS (JSLTC), Vol. 104, N° 2 (03-04/2020)
