Intelligence Online is the first system of political and economic intelligence. It deciphers all influence-bringing activities around the world those that originate from lobbying groups, intelligence services, or economic intelligence unites. It evaluates emerging risks terrorism, proliferation, organised crime, money laundering, political instability - around the globe.Computational Intelligence represents a part of Artificial Intelligence and mainly integrating 3 different technologies concerning artificial neural networks, fuzzy systems and evolutionary systems. Integration of these systems results in so called hybrid intelligent systems. The project covers and focuses on basic-and-fundamental research issues and also application domain in the following directions: intelligent control, intelligent prediction systems and intelligent image processing systems. In all application problems we focus on decision-like procedures and utilization of obtained knowledge base in these processes. The level of decision procedures is the crucial point of the technology level. If we will be able to make intelligent decisions (decisions with high level reliability) we can improve many technological processes in general. The machine IQ seems to be an attempt to measure the level of intelligence of human-made systems and to evaluate decision procedures in technology.In the domain of intelligent control we focus the problems of intelligent mobile robot control with aim to solve tasks as navigation in unknown environment, obstacle avoidance and progress to highly complex problems including robot soccer. The project intent to use Lego-robots (Lego-mindstorm) and run number of verification projects concerning fuzzy control, neurocontrol, GA-based control and hybrid systems. In the domain of prediction systems we consider prediction as so called trends classification/prediction/decision related to time series. In fact we are dealing with the problem of function extrapolation. Usually prediction of selected variable depends on various inputs. General we can divide analysis concerning prediction procedure into 2 parts : Technical Analysis and Fundamental Analysis. The prediction can be influenced by factors from technical as well as fundamental analysis. The prediction of processes where factors from technical analysis play the lye role is the main focus of this project. Predictions of processes where factor from fundamental analysis are important is very difficult and are not considered in this project. The key issue of the project is to study FIR neural networks with aim to avoid determination size of input window of time series data. We use data from Santa-Fe international database and also some data from power engineering domain with goal to predict the electricity load. Electricity load forecast is very important part of decision system to save expenses in electricity production domain. In the domain of image processing is classification procedure will be focused with improving the quality of decision about pixel membership to the class of interests. Classification and object identification procedures are tested based on decision procedures are being tested, analyzed and development of more sophisticated decision systems is underway mainly based on computational intelligence tools. From neural classifiers the main focus was/is on ARTMAP-like systems and development of MF-ARTMAP systems that represents adaptive/learning system for decision procedure with identification of membership function of fuzzy clusters/classes in multidimensional feature space...........

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***************************************************** " ABOUT Fordebut NATIONAL CENTRE FOR NATURAL SCIENCE AND TECHNOLOGY Online(FORDEBUT) is the most comprehensive source for theory and research in international affairs. It publishes a wide range of scholarship from 2001 onward that includes working papers from university research institutes, occasional papers series from global intelligence systems, foundation-funded research projects, proceedings from conferences, books, journals and policy briefs.FORDEBUT is also widely-recognized source for teaching materials including original case studies written by leading international affairs experts, course packs of background readings for history and political science classes, and special features like the analysis of a bin Laden recruitment tape with video."-- Our commitment..At the FORDEBUT, we are committed to providing a high quality of service to everyone with whom we deal. We continually look at our existing performance and try to improve on it. You may be in a good position to judge how we are performing, and we need you to tell us if we get things wrong. We will listen to your complaints and treat them seriously and in confidence. We aim to put things right for you when it is possible and appropriate, learn from where we went wrong and make sure that we do not make the same mistake again. - Note: The FORDEBUT is not responsible for the contents or reliability of the linked Web sites and does not necessarily endorse the views expressed therein. Listing should not be taken as endorsement of any kind. We cannot guarantee that all of these links will work all of the time and have no control over the availability of the linked sites.************** OUR PROJECT......Computational Intelligence represents a part of Artificial Intelligence and mainly integrating 3 different technologies concerning artificial neural networks, fuzzy systems and evolutionary systems. Integration of these systems results in so called hybrid intelligent systems. The project covers and focuses on basic-and-fundamental research issues and also application domain in the following directions: intelligent control, intelligent prediction systems and intelligent image processing systems. In all application problems we focus on decision-like procedures and utilization of obtained knowledge base in these processes. The level of decision procedures is the crucial point of the technology level. If we will be able to make intelligent decisions (decisions with high level reliability) we can improve many technological processes in general. The machine IQ seems to be an attempt to measure the level of intelligence of human-made systems and to evaluate decision procedures in technology.In the domain of intelligent control we focus the problems of intelligent mobile robot control with aim to solve tasks as navigation in unknown environment, obstacle avoidance and progress to highly complex problems including robot soccer. The project intent to use Lego-robots (Lego-mindstorm) and run number of verification projects concerning fuzzy control, neurocontrol, GA-based control and hybrid systems. In the domain of prediction systems we consider prediction as so called trends classification/prediction/decision related to time series. In fact we are dealing with the problem of function extrapolation. Usually prediction of selected variable depends on various inputs. General we can divide analysis concerning prediction procedure into 2 parts : Technical Analysis and Fundamental Analysis. The prediction can be influenced by factors from technical as well as fundamental analysis. The prediction of processes where factors from technical analysis play the lye role is the main focus of this project. Predictions of processes where factor from fundamental analysis are important is very difficult and are not considered in this project. The key issue of the project is to study FIR neural networks with aim to avoid determination size of input window of time series data. We use data from Santa-Fe international database and also some data from power engineering domain with goal to predict the electricity load. Electricity load forecast is very important part of decision system to save expenses in electricity production domain. In the domain of image processing is classification procedure will be focused with improving the quality of decision about pixel membership to the class of interests. Classification and object identification procedures are tested based on decision procedures are being tested, analyzed and development of more sophisticated decision systems is underway mainly based on computational intelligence tools. From neural classifiers the main focus was/is on ARTMAP-like systems and development of MF-ARTMAP systems that represents adaptive/learning system for decision procedure with identification of membership function of fuzzy clusters/classes in multidimensional feature space.........

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Atjeh

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