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Browsing by Subject "Artificial neural network"

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Artificial neural network to estimate the paddy yield prediction using remote sensing, weather and non weather variable in Ampara district, Sri Lanka

Wanninayaka, WMRK; Rathnayaka, RMKT; Udayakumara, EPN [Conference-Full-text]

In Sri Lanka, seasonal paddy area mapping and rice prediction is based on the traditional methods with poor technologies. Ampara district has been chosen as the study area because its contribution is considered as the ...
Artificial neural networks for construction bid decisions

Dias, WPS; Weerasinghe, RLD [Conference-Full-text]

An Artificial Neural Network (ANN) approach was explored for supporting construction bid decisions, since such decisions are heavily dependent on practitioner expertise, which in turn is generally encapsulated in case ...
Attention monitoring with electroencephalography and artificial neural network

Senarathne, UAC [Thesis-Full-text]

It’s a well-known fact that people lose attention without notice in many instances. Learning is one of them. If we remain attentive in whole leaning process, it will certainly improve our learning efficacy. If there is any ...
Comparative analysis of artificial neural network and multiple linear regression models in predicting pressure transmission of soft pneumatic actuators used for active compression

Hedigalla, D; Ehelagasthenna, M; Nissanka, ID; Amarasinghe, R; Nandasiri, GK

Compression therapy is a crucial treatment method for managing Chronic Venous Disease (CVD), a prevalent condition that affects the veins in the lower extremities. Active compression using soft pneumatic actuators was ...
Forecasting model of combining mini batch k means and kohonen maps to cluster and evaluate gait kinematics data

Indumini, U; Jayakody, A [Conference-Full-text]

When people are getting old, some gait abnormalities may have happened in their walking patterns. It means, there may be slight differences in their physical performance. Due to the complexity of that evaluation, a machine ...
Optimization of blasting geometry for different rock types

Sameera, JDAM; De Silva, HCN; Vijithan, K; Wamasooriya, WMNT; Chminda, SP; Abeysinghe, AMKB; Hemalal, PVA [Conference-Full-text]

Sri Lankan quarries observe their own blasting parameters and standards mainly based on experience gained over the years. Some of them are not the optimum values, due to the fact most of the quarries economical problems. In ...
Prediction of geotechnical properties of rice husk ash-stabilized soil systems

Ranathunga, RJKPN; Sampath, KHSM; Ranathunga, AS [Conference-Full-text]

Rice Husk Ash (RHA) is one attractive alternative that is used as a full/partial replacement of cement/lime in problematic soil stabilization. This paper introduces statistical models; multiple regression analysis (MRA) ...
A review of prediction of blast performance using computational techniques

Bhatawdekari, RM; Danial, JA; Edy, TM [Conference-Full-text]

In hard rock excavation, drilling and blasting is commonly used for loosening rock. Optimum rock fragmentation due to blasting is desirable for downstream operation productuivity. Environmental impacts due to blasting ...

Browsing by Subject "Artificial neural network"

Browsing by Subject "Artificial neural network"

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