Comparison of the Performance of K-Nearest Neighbours and Generalized Neural Network in Construction Crew Productivity Prediction

Oral, Okyanus
Oral, Emel


Comparison of geostatistics and artificial neural networks in reservoir property estimation
Arzuman, Sadun; Karahanoğlu, Nurkan; Department of Geological Engineering (2009)
In this dissertation, 3D surface seismic data was integrated with the well logs to be able to define the properties in every location for the reservoir under investigation. To accomplish this task, geostatistical and artificial neural networks (ANN) techniques were employed. First, missing log sets in the study area were estimated using common empirical relationships and ANN. Empirical estimations showed linear dependent results that cannot be generalized. On the other hand, ANNs predicted missing logs with...
Comparison of influence of gold contamination on the performances of planar and three dimensional c-Si solar cells
Baytemir, Gulsen; Es, Firat; Turan, Raşit (2019-11-01)
Radial junction solar cell is proposed as an alternative device geometry to planar junction solar cell due to its superior electro-optical performance. In this geometry, densely-packed micropillars enable the collection of minority carriers in the radial direction. Thus, the distance that carriers should travel to reach the p-n junction is shortened, allowing the use of low quality materials with poor carrier lifetime. In this study, we have experimentally studied the advantage of radial junction approach i...
Comparison of Fine Grained and Coarse Grained Parallel Models in Particle Swarm Optimization Algorithm
Baştürk, Alper; Akay, Rüştü; Kalınlı, Adem (2011-11-23)
Many optimization problems are generally complex and required to be solved in parallel architectures due to theircomputational costs. The main issue about the parallelism is that the parallel architectures may affect the performancebecause the original models are constructed based upon the sequential architectures. Therefore, the parallelizationapproaches should consider the efficiency in addition to reducing computational cost. The objective of this paper is two-fold.First goal is presenting a parallelizat...
Comparison of Forbidden Zone Data Hiding and Quantization Index Modulation
Esen, Ersin; Alatan, Abdullah Aydın (2012-01-01)
Developing practical data hiding schemes that approach theoretical steganographic capacity limits is still a challenging research area. In this aspect, this problem is approached from a different perspective by proposing a novel method that relies on the newly introduced forbidden zone concept, which is defined as the host signal range, where no alterations are allowed. The proposed method, Forbidden Zone Data Hiding (FZDH), combines the forbidden zone with binning schemes and it is formulated both in gener...
Comparison of cost performance for three aggregate production planning models in a manufacturing firm.
Tarakçioğlu, A Arif; Department of Operations Research (1981)
Citation Formats
O. Oral and E. Oral, “Comparison of the Performance of K-Nearest Neighbours and Generalized Neural Network in Construction Crew Productivity Prediction,” Çukurova Üniversitesi Mühendislik Fakültesi Dergisi, vol. 36, no. 1, pp. 131–140, 2021, Accessed: 00, 2022. [Online]. Available: