We anticipate fruitful workshop that will facilitate discussion and exchange of ideas, by bringing researchers applying natural language processing, ontologies, text mining, information extraction and retrieval in the biomedical domain, together with scientists from bioinformatics and biology.

The meeting includes invited talks, presentations of peerreviewed contributed papers, as well as the development of future ones to expedite progress in the interdisciplinary research field of biomedical textmining.

Information about last years meeting, which was held jointly with the BioOntologies SIG, can be found on the JBB06 web site. It will focus on recent assessments, on standards for annotation both in biological databases and in biomedical text corpora, and on new tools for biomedical text mining.

Information about last years meeting, which was held jointly with the BioOntologies SIG, can be found on the JBB06 web site. It is concerned with using techniques from natural language processing, information extraction and information retrieval to automate knowledge discovery from biomedical text. It will focus on recent assessments, on standards for annotation both in biological databases and in biomedical text corpora, and on new tools for biomedical text mining.

It will focus on recent assessments, on standards for annotation both in biological databases and in biomedical text corpora, and on new tools for biomedical text mining. Information about last years meeting, which was held jointly with the BioOntologies SIG, can be found on the JBB06 web site.

Page last updated by James Gray. The SIG solicits papers and talks that discuss text mining tools and their application to biomedical research and to biological database curation, examine the interrelations between database curation tasks and text mining, and the utility of existing resources as well as poster session. We anticipate fruitful workshop that will facilitate discussion and exchange of ideas, by bringing researchers applying natural language processing, information extraction and information retrieval to automate knowledge discovery from biomedical text.

Kalogirou, Prediction of FlatPlate Collector Performance Parameters Using Artificial Neural Network, Renewable Energy, Vol. In such cases, fuzzy controllers can be applied. Based on these patterns neural networks for example model inputoutput functional relationships and can make predictions about other combinations of unseen inputs. 5, No. Link>5.Kalogirou, Applications of Artificial Neural Networks for the Prediction of the Energy Consumption of Passive Solar Building, EnergyThe International Journal, Vol. 1, pp. In many control applications, the model of the system is unknown or the input parameters are highly variable and unstable.

Artificial Neural Networks Used for the Performance Prediction of Thermosyphon Solar Water Heater, Renewable Energy, Vol. Link>2.Kalogirou, Panteliou, 6, pp. Benghanem 4, pp. 3, pp. 248259, 373401, Information is passed between these units along interconnections.  Instead, they are trained with respect to data sets until they learn patterns used as inputs. ANNs while implemented on computers are not programmed to perform specific tasks. Fuzzy logic and fuzzy control feature relative simplification of control methodology description.

ANNs can automatically learn to recognize patterns in data from real systems or from physical models, computer programs, or other sources. and Kalogirou Modeling and simulation of stand alone photovoltaic system using an adaptive artificial neural network Proposition for new sizing procedure, Renewable Energy, Vol. 1, pp. 479491, and Kalogirou, An adaptive wavelet network model for forecasting daily total solar radiation, Applied Energy, Vol. These are more robust and cheaper than conventional PID controllers. 82, No.

LongTerm Performance Prediction of Thermosyphon Solar Water Heater, Renewable Energy, Vol. It is based on fuzzy logic reasoning which employs linguistic rules in the form of patterns. 6, pp. 248259, Artificial neural networks ANNs are collections of small individually interconnected processing units. 163174, 1, pp. Fuzzy logic and fuzzy control feature relative simplification of control methodology description. ANNs while implemented on computers are not programmed to perform specific tasks. and Bojic, Artificial Neural Networks for the Prediction of the Energy Consumption of Passive Solar Building, EnergyThe International Journal, Vol.

2ndInternational Workshop on Hybrid Artificial Intelligence Systems HAIS 2007 combines symbolic and subsymbolic techniques to construct more robust and reliable problem solving models. HAIS provides an interesting opportunity to present and discuss the latest theoretical advances and realworld applications in this multidisciplinary research field is in continuous expansion in the artificial intelligence research community and we believe that CAEPIA is an excellent forum to run this event. They provide us with the opportunity to use both, our knowledge and row data to solve problems in more interesting and promising way. We hope to see you next year !!

Hybrid intelligent systems are becoming popular due to their capabilities in handling many real world complex problems, involving imprecision,

They provide us with the opportunity to use both, our knowledge and row data to solve problems in more interesting and promising way. This multidisciplinary research field is in continuous expansion in the artificial intelligence research community and we believe that CAEPIA is an excellent forum to run this event. We hope to see you next year !! HAIS on the Media La Gaceta Arranca el encuentro de Inteligencia Artificial Burgos Digital Diez burgaleses clausuran la workshop sobre Sistemas Inteligentes Artificiales Hbridos.

Accepted papers will be included in HAIS Proceedings to be published by Springer Verlag. Hybrid intelligent systems are becoming popular due to their capabilities in handling many real world complex problems, involving imprecision, uncertainty and vagueness, highdimensionality. 2ndInternational Workshop on Hybrid Artificial Intelligence Systems HAIS 2007 combines symbolic and subsymbolic techniques to construct more robust and reliable problem solving models. HAIS provides an interesting opportunity to present and discuss the latest theoretical advances and realworld applications in this multidisciplinary research field.. We hope to see you next year !!

The 2nd International Workshop on Hybrid Artificial Intelligence Systems HAIS 2007 combines symbolic and subsymbolic techniques to construct more robust and reliable problem solving models. This multidisciplinary research field is in continuous expansion in the artificial intelligence research community and we believe that CAEPIA is an excellent forum to run this event.