Artificial neural network approach to study the effect of injection pressure and timing on diesel engine performance fueled with biodiesel
GR Kannan, KR Balasubramanian, R Anand - International Journal of …, 2013 - Springer
This study intends to predict the influence of injection pressure and injection timing on
performance, emission and combustion characteristics of a diesel engine fuelled with waste …
performance, emission and combustion characteristics of a diesel engine fuelled with waste …
[PDF][PDF] Predicting surface roughness of AISI 4140 steel in hard turning process through artificial neural network, fuzzy logic and regression models
H Akkuş, I Asilturk - Scientific Research and Essays, 2011 - academicjournals.org
In this study, the average surface roughness values obtained when turning AISI 4140 grade
tempered steel with a hardness of 51 HRC, were modeled using fuzzy logic, artificial neural …
tempered steel with a hardness of 51 HRC, were modeled using fuzzy logic, artificial neural …
Prediction of hourly solar radiation in six provinces in turkey by artificial neural networks
The purpose of this study is to apply the method of artificial neural networks (ANNs) to
predict the hourly solar radiation of six selected provinces in Turkey. Six neurons—receiving …
predict the hourly solar radiation of six selected provinces in Turkey. Six neurons—receiving …
[PDF][PDF] Prediction of material removal rate using regression analysis and artificial neural network of ECDM process
N Sathisha, SS Hiremath… - International Journal of …, 2014 - researchgate.net
The combination of two non conventional machining processes is known as Hybrid
machining. It has become one of the most important machining techniques for glass and …
machining. It has become one of the most important machining techniques for glass and …
[PDF][PDF] StegoMos: A secure novel approach of high rate data hidden using mosaic image and ANN-BMP cryptosystem
This paper discusses a secure novel approach of high rate data hidden using mosaic image
and bitmap (bmp) cryptosystem. The mosaic image used in this approach together with the …
and bitmap (bmp) cryptosystem. The mosaic image used in this approach together with the …
An estimation of personnel food demand quantity for businesses by using artificial neural networks
MH Calp - arxiv preprint arxiv:1902.04412, 2019 - arxiv.org
Today, many public or private institutions provide professional food service for personnels
working in their own organizations. Regarding the planning of the said service, there are …
working in their own organizations. Regarding the planning of the said service, there are …
İşletmeler için personel yemek talep miktarının yapay sinir ağları kullanılarak tahmin edilmesi
MH Calp - Politeknik dergisi, 2019 - dergipark.org.tr
Günümüzde kamu veya özel kurumların birçoğu, bünyelerinde çalışan personeller için
profesyonel yemek hizmeti vermektedir. Söz konusu hizmetin planlanması konusunda …
profesyonel yemek hizmeti vermektedir. Söz konusu hizmetin planlanması konusunda …
Modelling of a thermal insulation system based on the coldest temperature conditions by using artificial neural networks to determine performance of building for wall …
M Tosun, K Dincer - International journal of refrigeration, 2011 - Elsevier
In formation of building external envelope, as two important criteria, climatic data and wall
types must be taken into consideration. In the selection of wall type, the thickness of thermal …
types must be taken into consideration. In the selection of wall type, the thickness of thermal …
Two-stage hybrid sem-neural network approach and Van city residents' perception of brand
S Şehrïbanoğlu, M Canayaz… - Journal of Statistics and …, 2022 - Taylor & Francis
SEM is multivariate statistical analysis. In addition to its advantageous aspects, it needs to
cope with many assumptions. The ANN methods developed in recent years have …
cope with many assumptions. The ANN methods developed in recent years have …