Plenary Lecture
Methodological Approach for Climatic Variables Forecast Using Data Analysis, Neural Networks and Fuzzy Logic-Based Models
Professor Francklin Rivas-Echeverria
Universidad Tecnica Federico Santa Maria
Departamento de Informatica
Chile
E-mail: firivas@inf.utfsm.cl
Abstract: Climatic variables forecast is a very important research area, and many international organizations are focus on this activity because of its impact on weather prediction and the relationship with critical areas as safety, security, agronomy, tourism, social development, among others. For making this climatic variables predictions, there have been used mathematical, statistical and more recently intelligent models. In order to be able to create climatic variables prediction models using statistical data analysis, neural networks and fuzzy logic, it’s important to establish a methodological framework, where the diverse aspects, circumstances and important issues to be considered in these tasks are contemplated. In this plenary lecture it will be presented a methodological approach for climatic variables prediction using statistical data analysis, Artificial Neural Networks, fuzzy logic and neuro-fuzzy systems, including the most typical type of problems that can be found working with climatic measurements. The methodological approach will be presented in stages, phases and steps in order to make it easier to follow and it’s derived from intelligent systems and software engineering methodologies, but including particularities of the climatic variables prediction.
Brief Biography of the Speaker: Francklin Rivas-Echeverria Systems Engineer, MSc. in Control Engineering and Applied Science Doctor. Full professor in Informatics Department at Universidad Tecnica Federico Santa Maria in Chile. He is retired professor from Universidad de Los Andes, Venezuela and has been invited professor in the Engineering School at Pontificia Universidad Católica del Ecuador-sede Ibarra (PUCESI, Ecuador), Laboratoire d'Architecture et d'Analyse des Systemes (LAAS, Toulouse-France) among other international Universities. He has also been technical advisor for United Nations (UN), Kuwait Oil Company (Kuwait), Halliburton (USA), Aluminum Venezuelan Company (VENALUM), among others. Over 250 publications in high level conferences and journals: the main topics of his papers are: Artificial Intelligence, Intelligent Control, Automation Systems and Industrial Applications. He has applied his results to many fields: Processes Control and Supervision, Oil production, Steel production processes, education among others. Also, has developed several tools for automatic control teaching. He is coauthor of fourteen books. Halliburton awarded him a recognition for “contributions and dedication to the development of petroleum technology”. Recognition awarded by “Revista Gerente” as one of the 100 most successful Managers in Venezuela. He has been chairman and invited plenary lecturer in several conferences around the world, he has presented and published more than 40 papers in WSEAS Conferences Proceedings and Journals.