Construction project control using artificial neural networks
نویسندگان
چکیده
منابع مشابه
Cash Flow Analysis of Construction Project Using Artificial Neural Networks
Cash shortage is one of the most dangerous problems that may appear while projects are in progress. Inadequate cash flows force the companies to take short term or long term loans and in some cases companies end up being bankruptcy. In this study the planned and actual cumulative percentages of cash flows and work progress which are represented using S-curves are used as the basis for analyzing...
متن کاملProject Time and Cost Forecasting using Monte Carlo simulation and Artificial Neural Networks
The aim of this study is to present a new method to predict project time and cost under uncertainty. Assuming that what happens in projects implementation which is expressed in the form of Earned Value Management (EVM) indicators is primarily related to the nature of randomness or unreliability, in this study, by using Monte Carlo simulation, and assuming a specific distribution for the time an...
متن کاملa project portfolio selection model with project interaction & resources interdependency consideration using artificial neural networks
a vast number of organizational projects as well as complexity of decision making process can cause particular challenges for project management and its leadership. in order to use organization assets and opportunities efficiently, it is necessary that manager implement a comprehensive multidimensional project portfolio management system that considers economic, social and technical details of ...
متن کاملrodbar dam slope stability analysis using neural networks
در این تحقیق شبکه عصبی مصنوعی برای پیش بینی مقادیر ضریب اطمینان و فاکتور ایمنی بحرانی سدهای خاکی ناهمگن ضمن در نظر گرفتن تاثیر نیروی اینرسی زلزله ارائه شده است. ورودی های مدل شامل ارتفاع سد و زاویه شیب بالا دست، ضریب زلزله، ارتفاع آب، پارامترهای مقاومتی هسته و پوسته و خروجی های آن شامل ضریب اطمینان می شود. مهمترین پارامتر مورد نظر در تحلیل پایداری شیب، بدست آوردن فاکتور ایمنی است. در این تحقیق ...
Robust Backstepping Control of Induction Motor Drives Using Artificial Neural Networks and Sliding Mode Flux Observers
In this paper, using the three-phase induction motor fifth order model in a stationary twoaxis reference frame with stator current and rotor flux as state variables, a conventional backsteppingcontroller is first designed for speed and rotor flux control of an induction motor drive. Then in orderto make the control system stable and robust against all electromechanical parameter uncertainties a...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Artificial Intelligence for Engineering Design, Analysis and Manufacturing
سال: 1997
ISSN: 0890-0604,1469-1760
DOI: 10.1017/s0890060400001839