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A Model for Shovel Capital Cost Estimation, Using a Hybrid Model of Multivariate Regression and Neural Networks

Abdolreza Yazdani-Chamzini, Edmundas Zavadskas, Jurgita Antucheviciene, Romualdas Bausys
2017 Symmetry  
problems with a high degree of accuracy, have been combined to provide a cost estimate model for a shovel machine.  ...  In this paper, the multivariate regression (MVR) method, which is one of the most popular linear models, and the artificial neural network (ANN) method, which is widely applied to solving different prediction  ...  [31] presented a case study and estimated the cost of sheet metal parts, using a combination of multiple regression and artificial neural networks. Mesroghli et al.  ... 
doi:10.3390/sym9120298 fatcat:hfdpjp2fzvdolbpm5ty6f6mbuy

Civil Engineering and Symmetry

Edmundas Kazimieras Zavadskas, Romualdas Bausys, and Jurgita Antucheviciene
2019 Symmetry  
A topic of utmost importance in civil engineering is finding optimal solutions throughout the life cycle of buildings and infrastructural objects, including their design, manufacturing, use, and maintenance  ...  Operational research, management science, and optimisation methods provide a consistent and applicable groundwork for engineering decision-making.  ...  Next, for the mining industry, a hybrid multi-criteria model for shovel capital cost estimation, using multivariate regression and neural networks, is proposed [26] .  ... 
doi:10.3390/sym11040501 fatcat:p3vbegu6qbfzdnyuij5qxxu2yi


Ahmad Reza Sayadi, Ali Lashgari, Mohammad Majid Fouladgar, Miroslaw J. Skibniewski
2012 Journal of Civil Engineering and Management  
These models estimate the capital and operating cost of backhoe shovels using uni-variable exponential regression (UVER) as well as multi-variable linear regression (MVLR), based on principal component  ...  Model evaluations show that these functions could be a credible tool for cost estimations in prefeasibility and feasibility studies of mining and construction projects.  ...  Acknowledgements We would like to acknowledge the support and hard work of M. Eng.  ... 
doi:10.3846/13923730.2012.692705 fatcat:bgxubisp3jghvh6u5xwhmkuw2a

Hybrid Electric Haulage Trucks for Open Pit Mining

Ehsan Esfahanian, John A. Meech
2013 IFAC Proceedings Volumes  
mine, which for a haul truck can provide substantial cash flow returns in addition to paying off for the extra capital cost of the hybrid electric system. iv  ...  For example, as the state of charge of the battery decreases, it becomes more costly to use electricity, and so, the control system tends to transition the power source from battery to fuel.  ...  neural networks, genetic algorithms, and optimal control (Ganji and Kouzani, 2010) .  ... 
doi:10.3182/20130825-4-us-2038.00042 fatcat:c6curuoiozbwnfn6kh6itcbugi

Evolution and development of neural controllers for locomotion, gradient-following, and obstacle-avoidance in artificial insects

J. Kodjabachian, J.-A. Meyer
1998 IEEE Transactions on Neural Networks  
Barate R, Doncieux S, and Meyer J-A 2006 Design of a bio-inspired controller for dynamic soaring in a simulated UAV.  ...  A 2002 Estimates of circulation and gait change based on three-dimensional kinematic analysis of flight in cockatiels (Nymphicus hollandicus) and ringed turtle-doves (Streptopelia risoria). J. Exp.  ...  Druot for helpfull advice on using and improving the FMFAW flight simulator.  ... 
doi:10.1109/72.712153 pmid:18255767 fatcat:iy4zjzgcjzc6pmwoqp3c5xpfga

Program of the 89th Annual Meeting of the American Association of Physical Anthropologists

2020 American Journal of Physical Anthropology  
We conclude that two of the main factors underlying GC variation in wild hamadryas baboons are age and female reproductive state, highlighting the need to control for such factors when using GCs as a proxy  ...  Kamunda may be considered a "staple food resource" because of its high spatial and temporal availability, consistent use by orangutans, and high macronutrient content.  ...  Foundation (1826656) The developmental basis for variation in the human shoulder Kinetics of stone tool production in novice and expert toolmakers  ... 
doi:10.1002/ajpa.24023 pmid:32058585 fatcat:gulriykcvbgdbikcya2xflv73a

CAHR 2009—Oral Presentations

2009 Canadian Journal of Infectious Diseases and Medical Microbiology  
, and encourage efficiency of neural networks involved in memory processing.  ...  Mixed-effect linear regression model was used to estimate the rate of change in CD4 counts during pVL suppression.  ...  Multivariate linear regression and proportional odds logistic regression with a confounder model selection process was done using stable housing and food security as variables of interest. results: 370  ... 
doi:10.1155/2009/265434 fatcat:4idcbwd57bfqnbuhl3peezqvvu

AI and IoT Meet Mobile Machines: Towards a Smart Working Site

Yusheng Xiang
Because the selected combined neural network is more suitable for transfer learning compared to the SOTA solution of the Multivariable Time Series Classification algorithm, my deep learning model has better  ...  Concretely, I introduced combined neural networks to detect the manned machines' working process and validated with experimental data did on a wheel loader.  ...  gain a series of data and train the neural networks.  ... 
doi:10.5445/ir/1000138466 fatcat:sx4n2yk67bbuzipsyenihyevua

Nature's Law: The Evolutionary Origin of Property Rights

Kathryn Elizabeth Loncarich
2013 Social Science Research Network  
The Public Housing Capital Funding also suffers from funding problems, receiving 8% less in funding in fiscal year 2012, despite an estimate $25 billion in public housing capital needs.  ...  disadvantageous strategy, and a more-complex hybrid strategy may evolve.  ... 
doi:10.2139/ssrn.2309981 fatcat:kbltbfizoren5cpfbegpvvvz3y

Physical activity, apolipoprotein-ɛ4 and cognition among cognitively healthy older adults: a longitudinal study

Catherine Robb, Robert Perneczky, Chi Udeh-Momoh, Petra Wark, Johnson, Alzheimer's Research UK
Mixed-models regression methods were used to analyse the associations between PA and cognition over time, including effect modification by APOEɛ4 carrier status, age, and sex.  ...  Alzheimer's disease (AD) is fast becoming a public health priority. In the absence of effective drug treatment, the focus has shifted towards lifestyle change for prevention.  ...  A global estimate of 50 million individuals are currently diagnosed with dementia, producing an economic cost of US$1 trillion [1] .  ... 
doi:10.25560/76565 fatcat:3ftn2txo2jcito3iqa4upmqg2a

Systematics and palaeobiology of Haast's eagle (Harpagornis moorei Haast, 1872) (Aves: Accipitridae) [article]

Richard N. Holdaway, University Of Canterbury
A phylogenetic analysis of the family Accipitridae was based on 188 osteological characters for 44 living genera, plus Haast's Eagle (Harpagornis moorei Haast, 1872), a large fossil species from the New  ...  In the Holocene, it was most abundant in the east and south of the South Island, where there was a mosaic vegetation pattern of drier forest and shrublands.  ...  Don Brathwaite provided much enthusiastic discussion throughout, and perceptive comments on the probably ecology of Cnemiornis, Pachyanas, and Gal/inula. I  ... 
doi:10.26021/6893 fatcat:dw5ezrqjgvesrmuszsksmpcblu