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AN ARTIFICIAL NEURAL NETWORKS MODEL FOR THE ESTIMATION OF FORMWORK LABOUR / DIRBTINIŲ NEURONINIŲ TINKLŲ MODELIS, KURIO PASKIRTIS – SKAIČIUOTI KLOJINIAMS SKIRTO DARBO APIMTIS

• Authors : Dikmen, Ümit; Sönmez, Murat; TR141153

Subjects: productivity; Labour; Cost

• Source: Journal of Civil Engineering and Management, Vol 17, Iss 3 (2011)Journal of Civil Engineering and Management; Vol 17 No 3 (2011); 340-347

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COMPARISON OF MULTI LAYER PERCEPTRON (MLP) AND RADIAL BASIS FUNCTION (RBF) FOR CONSTRUCTION COST ESTIMATION: THE CASE OF TURKEY

• Authors : Bayram, Savas; Ocal, M. Emin; Laptali Oral, Emel ...

Subjects: Building construction; radial basis function (RBF); artificial neural networks (ANN)

• Source: Journal of Civil Engineering and Management, Vol 22, Iss 4 (2016)Journal of Civil Engineering and Management; Vol 22 No 4 (2016); 480-490

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MODELING STREAM SPEED IN HETEROGENEOUS TRAFFIC ENVIRONMENT USING ANN‐LESSONS LEARNT

• Authors : Basu, Debasis; Maitra, Bhargab

Subjects: stream speed; TA1001-1280; Artificial Neural Networks (ANN)

• Source: Transport, Vol 21, Iss 4 (2006)Transport, Vol 21, Iss 4, Pp 269-273 (2006)Transport, ISSN 1648-4142, 2006, Vol. 21, No. 4, p. 269-273Transport; Vol 21 No 4 (2006); 269-273

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Modeling stream speed in heterogeneous traffic environment using ANN-lessons learnt

• Authors : D. Basu; B. Maitra

Subjects: heterogeneous/mixed traffic; stream speed; Artificial Neural Networks (ANN)

• Source: Transport, Vol 21, Iss 4, Pp 269-273 (2006)

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DEVELOPMENT OF SOFT COMPUTATIONAL SIMULATOR FOR OPTIMIZED DEEP ARTIFICIAL NEURAL NETWORKS FOR GEOMATICS APPLICATIONS: REMOTE SENSING CLASSIFICATION AS AN APPLICATION.

• Authors : SERWA, Ahmed¹

• Source: Geodesy & Cartography. 2022, Vol. 48 Issue 4, p224-232. 9p.

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AN OVERVIEW OF METHODS FOR GENERATING, AUGMENTING AND EVALUATING ROOM IMPULSE RESPONSE USING ARTIFICIAL NEURAL NETWORKS.

• Authors : TAMULIONIS, Mantas¹

• Source: Science: Future of Lithuania / Mokslas: Lietuvos Ateitis. 2021, Vol. 13, p1-5. 5p.

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COMPRESSIVE STRENGTH PREDICTION OF LIGHTWEIGHT SHORT COLUMNS AT ELEVATED TEMPERATURE USING GENE EXPRESSION PROGRAMING AND ARTIFICIAL NEURAL NETWORK.

• Authors : ASHTEYAT, Ahmad¹; OBAIDAT, Yasmeen T.²; MURAD, Yasmin Z.¹

• Source: Journal of Civil Engineering & Management. 2020, Vol. 26 Issue 2, p189-199. 11p.

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Prediction of axial capacity of piles driven in non-cohesive soils based on neural networks approach.

• Authors : Benali, Amel¹; Boukhatem, Bakhta²; Hussien, Mahmoud N.³

• Source: Journal of Civil Engineering & Management. Apr2017, Vol. 23 Issue 3, p393-408. 16p.

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Forecasting pandemic-induced changes in real estate market values through machine learning approaches

• Authors : Adile Gülsüm Ulucan; Aslı Bozdağ; Murat Karakoyun

Subjects: real estate valuation; pandemic; valuation criteria

• Source: International Journal of Strategic Property Management, Vol 29, Iss 3 (2025)

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MIKROBANGŲ ĮTAISŲ MODELIAVIMAS, TAIKANT DIRBTINIŲ NEURONŲ TINKLUS.

• Authors : Katkevičius, Andrius¹

• Source: Science: Future of Lithuania / Mokslas: Lietuvos Ateitis. Feb2012, Vol. 4 Issue 1, p81-84. 4p.

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