The prediction of the ultimate bearing capacity of the pile under axial load is one of the important issues for many researches in the field of geotechnical engineering. In recent years, the use of computational intelligence techniques such as different methods of artificial neural network has been developed in terms of physical and numerical modeling aspects. In this study, a database of 100 p...

What we call “environment” or environmental systems is the natural world (or sections thereof) including humans and the artifacts they create. Environmental systems are complex systems, comprising a large number of interacting objects, substances, and processes which are subject to different specialized areas of science, such as biology, chemistry, hydrology, meteorology, and, when it comes to ...

In the research project “KBE4Infra”, knowledge-based engineering (KBE) techniques for capture, storage and reuse of engineering knowledge in bridge engineering are investigated. A rich data source of bridge engineering knowledge, are Bridge Management Systems (BMS). The work present addresses the question, whether it is possible to gain knowledge by the use of data in bridge management systems ...

Permeability can be directly measured using cores taken from the reservoir in the laboratory. Due to high cost associated with coring, cores are available in a limited number of wells in a field. Many empirical models, statistical methods, and intelligent techniques were suggested to predict permeability in un-cored wells from easy-to-obtain and frequent data such as wireline logs. The main obj...

The Artificial Intelligence (AI) based modeling techniques applied to the industrial grinding operation of a lead-zinc ore-beneficiation plant to predict the key performance indicators (KPIs) for the circuit. As system identification of the non-linear process is a must in advanced control, AI based techniques are applied to predict the KPIs within some acceptable limits. The nonparametric model...

Recently, all efforts have been directed toward keeping the network functional at a high level by determining appropriate maintenance or rehabilitation (M & R) treatment

Work in behavior-based systems focuses on functional modeling, that is, the synthesis of life-like and/or biologically inspired behavior that is robust, repeatable and adaptive. Inspiration from cognitive science, neuroscience and biology drives the development of new methods and models in behavior-based robotics, and the results tie together several related fields including artificial life, ev...