Intelligent back analysis using data from the instrument

سال انتشار: 1394
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 711

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شناسه ملی سند علمی:

SMFE02_102

تاریخ نمایه سازی: 27 بهمن 1394

چکیده مقاله:

As substitution method, artificial neural network instructed based on numerical analyzed patterns except than more feasibility and speed than other methods can also reach the accuracy required in numerical modeling. In this paper a model based on Perceptron multilayer artificial neural network have been presented for intelligent regressive analysis of Chehel Chai water conveyance tunnel base on monitoring data. Our input data were 27 parameters categorized in three classes including: tunneling data, geological data, and average of in situ horizontal stress. For network instruction, data bank of regressive analysis results of 18 Convergence stations was prepared in 980 classes by using FLAC3D software. Then according to network behavior in instructing step, optimum values for medial layers number, neurons number and, activity functions obtained. By this way a model was mad based on artificial neural network that was able to regressive analyzing of displacements in future Convergence station projects in every time of monitoring..

نویسندگان

Masoud Ghaemi

phD Candidate in Rock Mechanic, Engineer Sepasad Group, Coach of Shams University

Hamed Zarei

Student of Geotechnic, Shams Higher Education Institute, Gonbad-e Kavus

Alireza Khalili

Student of Geotechnic, Shams Higher Education Institute, Gonbad-e Kavus

Kaveh Ahangari

phD, Assistant Professor, Mining Engineering Group, Department of Mining Engineering, Science and Research Branch, Islamic Azad University, Tehran