In the domain of intelligent systems the management of system resources is typically called “attention”. Attention mechanisms exist because even environments of moderate complexity are a source of vastly more information than available cognitive resources of any known intelligence can handle. Cognitive resource management has not been of much concern in artificial ...

Permeability is the ability of porous rock to transmit fluids and one of the most important properties of reservoir rock because oil production depends on the permeability of reservoirs. Permeability is determined using a variety of methods which are usually expensive and time consuming. Reservoir rock properties with image analysis and intelligent systems has been used to reduce time and money...

Intelligent control denotes the capacity to acquire and apply knowledge in control process. The important characteristics of intelligent control systems are information abstraction and knowledge-based decision making. There are different control paradigms available in the literature including Artificial Neural Networks, Fuzzy Logic Systems, Genetic Algorithms, Hybrid Models and others. This pap...

car license plate recognition is addressed in this paper. given the development of intelligent transportation systems, it is absolutely essential to implement a strong license plate recognition system. efforts were made to put forward a novel reliable method for car license plate recognition in iran. each license plate recognition system comprises three main parts. the first part is the license...

nowadays the position of the renewable energy is so important because of the environment pollution and the limitation of fossil fuels in the world. energy can be generated more and more by the renewable sources, but the fossil fuels are non-renewable. one of the most important renewable sources is the wind energy. the wind energy is an appropriate alternative source of fossil fuel. the replacem...

The goal of this paper is to present a Fuzzy Instructional Planner belonging to an Intelligent Tutorial System (ITS) which has been designed as a tool for the reinforcement of the addition operation. We have modeled the uncertainty in the student’s knowledge and the teaching strategy by using principles from a rigorous fuzzy logic methodology. Key-Words: Fuzzy Systems, Artificial Intelligence, ...

This article describes an intelligent system architecture that based on neural networks, expert systems and negotiating agents technologies is designed to optimize intelligent building’s performance. By understanding a building as a dynamic entity capable of adapting itself not only to changing environmental conditions but also to occupant’s living habits, high standards of comfort and user sat...

This paper gives a survey of the past and present research and development activities in the field of intelligent systems. The intelligent system techniques included in this survey are fuzzy logic, neural networks, evolutionary computation, artificial intelligence, and expert systems. It lays emphasis on statistical trends of published papers, patents, and commercialized products. The paper als...

DOWNLOAD http://bit.ly/1OslRBc Artificial neural networks: theory and applications This comprehensive tutorial on artifical neural networks covers all the important neural network architectures as well as the most recent theory-e.g., pattern recognition, statistical theory, and other mathematical prerequisites. A broad range of applications is provided for each of the architectures. Artificial ...