Ecological evaluation of leather industry by neural network / Cheng Shuqiang in JOURNAL OF THE SOCIETY OF LEATHER TECHNOLOGISTS & CHEMISTS (JSLTC), Vol. 104, N° 1 (01-02/2020)  

[article]  inJOURNAL OF THE SOCIETY OF LEATHER TECHNOLOGISTS & CHEMISTS (JSLTC) > Vol. 104, N° 1 (01-02/2020) . - p. 1-7 Titre : Ecological evaluation of leather industry by neural network Type de document : texte imprimé Auteurs : Cheng Shuqiang, Auteur ; Luo Juan, Auteur Année de publication : 2020 Article en page(s) : p. 1-7 Note générale : Bibliogr. Langues : Anglais (eng) Catégories : Cuirs et peaux -- Industrie -- Aspect de l'environnement Evaluation Réseaux neuronaux (informatique) Index. décimale : 675 Technologie du cuir et de la fourrure Résumé : At present, the production process of the leather industry is gradually developing towards being green and pollution-free. Therefore, an ecological evaluation of the leather industry is particularly important. In this paper, an ecological model of leather industry was established by using a BP (Back Propagation) neural network, and the appropriate indicators such as wastewater, COD, BOD, SS, Cr, S2- were selected for evaluation. The evaluation method improves the quality of evaluation of the ecological leather industry, and provides a reference for the evaluation of the ecological chemistry industry, which is conductive to the better realisation of the green development of the leather industry. Note de contenu : - ECOLOGICAL EVALUATIONO FHT LEATHER INDUSTRY BASED ON NEURAL NETWORK : Research method - Application of neural network in leather ecology evaluation - Construction of BP neural network - EXAMPLE OF APPLICATION : Overview of research - Establishment of leather ecosystem evaluation index - Data source and processing - Evaluation results of BP neural network - Analysis of case result En ligne : https://drive.google.com/file/d/11hsb6juUYHaKHXKV14oJT1M5ZUSKwaLM/view?usp=drive [...] Format de la ressource électronique : Pdf Permalink : https://e-campus.itech.fr/pmb/opac_css/index.php?lvl=notice_display&id=33536 [article]

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Evaluation of leather ecosystem based on BP neural network / Juan Luo in JOURNAL OF THE SOCIETY OF LEATHER TECHNOLOGISTS & CHEMISTS (JSLTC), Vol. 104, N° 2 (03-04/2020)  

[article]  inJOURNAL OF THE SOCIETY OF LEATHER TECHNOLOGISTS & CHEMISTS (JSLTC) > Vol. 104, N° 2 (03-04/2020) . - p. 63-66 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 [article]

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