A three-step neural network artificial intelligence modeling approach for time, productivity and costs prediction
The improvement of harvesting methodologies plays an important role in the optimization of wood production in a context of sustainable forest management. Different harvesting methods can be applied according to forest site-specific condition and the appropriate mechanization level depends on a numbe...
| Permalink: | http://skupnikatalog.nsk.hr/Record/nsk.NSK01001084114/Details |
|---|---|
| Matična publikacija: |
Croatian journal of forest engineering (Online) 41 (2020), 1 ; str. 35-47 |
| Glavni autori: | Proto, Andrea Rosario (Author), Sperandio, Giulio, Costa, Corrado, Maesano, Mauro, Antonucci, Francesca, Macrì, Giorgio, Scarascia Mugnozza, Giuseppe, Zimbalatti, Giuseppe |
| Vrsta građe: | e-članak |
| Jezik: | eng |
| Predmet: | |
| Online pristup: |
https://doi.org/10.5552/crojfe.2020.611 Croatian journal offorest engineering (Online) Hrčak |
| LEADER | 03290naa a22004694i 4500 | ||
|---|---|---|---|
| 001 | NSK01001084114 | ||
| 003 | HR-ZaNSK | ||
| 005 | 20221228150246.0 | ||
| 006 | m d | ||
| 007 | cr|||||||||||| | ||
| 008 | 201210s2019 ci ad |o |0|| ||eng | ||
| 024 | 7 | |2 doi |a 10.5552/crojfe.2020.611 | |
| 035 | |a (HR-ZaNSK)001084114 | ||
| 040 | |a HR-ZaNSK |b hrv |c HR-ZaNSK |e ppiak | ||
| 041 | 0 | |a eng |b eng | |
| 042 | |a croatica | ||
| 044 | |a ci |c hr | ||
| 080 | 1 | |a 630 |2 2011 | |
| 080 | 1 | |a 004 |2 2011 | |
| 080 | 1 | |a 33 |2 2011 | |
| 100 | 1 | |a Proto, Andrea Rosario |4 aut |9 HR-ZaNSK | |
| 245 | 1 | 2 | |a A three-step neural network artificial intelligence modeling approach for time, productivity and costs prediction |h [Elektronička građa] : |b a case study in Italian forestry / |c Andrea Rosario Proto, Giulio Sperandio, Corrado Costa, Mauro Maesano, Francesca Antonucci, Giorgio Macrì, Giuseppe Scarascia Mugnozza, Giuseppe Zimbalatti. |
| 300 | |b Ilustr., graf. prikazi. | ||
| 504 | |a Bibliografija: str. 44-46. | ||
| 504 | |a Summary. | ||
| 520 | |a The improvement of harvesting methodologies plays an important role in the optimization of wood production in a context of sustainable forest management. Different harvesting methods can be applied according to forest site-specific condition and the appropriate mechanization level depends on a number of factors. Therefore, efficiency and functionality of wood harvesting operations depend on several factors. The aim of this study is to analyze how the different harvesting processes affect operational costs and labor productivity in typical small-scale Italian harvesting companies. A multiple linear regression model (MLR) and artificial neural network (ANN) have been carried out to predict gross time, productivity and costs estimation in a series of qualitative and quantitative variables. The results have created a correct statistical model able to accurately estimate the technical parameters (work time and productivity) and economic parameters (costs per unit of product and per hectare) useful to the forestry entrepreneur to predict the results of the work in advance, considering only the values detectable of some characteristic elements of the worksite. | ||
| 653 | 0 | |a Sječa stabala |a Šumarska mehanizacija |a Umjetna inteligencija |a Neuronske mreže |a Tehničke značajke |a Utrošak vremena |a Proizvodnost |a Procjena troškova |a Statistički modeli | |
| 653 | 5 | |a Italija | |
| 700 | 1 | |a Sperandio, Giulio |4 aut | |
| 700 | 1 | |a Costa, Corrado |4 aut |9 HR-ZaNSK | |
| 700 | 1 | |a Maesano, Mauro |4 aut | |
| 700 | 1 | |a Antonucci, Francesca |4 aut |9 HR-ZaNSK | |
| 700 | 1 | |a Macrì, Giorgio |4 aut |9 HR-ZaNSK | |
| 700 | 1 | |a Scarascia Mugnozza, Giuseppe |4 aut |9 HR-ZaNSK | |
| 700 | 1 | |a Zimbalatti, Giuseppe |4 aut |9 HR-ZaNSK | |
| 773 | 0 | |t Croatian journal of forest engineering (Online) |x 1848-9672 |g 41 (2020), 1 ; str. 35-47 |w nsk.(HR-ZaNSK)000843366 | |
| 981 | |b Be2019 |b B05/19 | ||
| 998 | |b dalo2101 | ||
| 856 | 4 | 0 | |u https://doi.org/10.5552/crojfe.2020.611 |
| 856 | 4 | 0 | |u http://www.crojfe.com/archive/volume-41-no-1/a-three-step-neural-network-artificial-intelligence-modeling-approach-for-time-productivity-and-costs-prediction-a-case-study/ |y Croatian journal offorest engineering (Online) |
| 856 | 4 | 0 | |u https://hrcak.srce.hr/233577 |y Hrčak |
| 856 | 4 | 1 | |y Digitalna.nsk.hr |