In a world of almost permanent and rapidly increasing electronic data availability, techniques of filtering, compressing, and interpreting this data to transform it into valuable and easily comprehensible information is of utmost importance. One key topic in this area is the capability to deduce future system behavior from a given data input. This book brings together for the first time the complete theory of data-based neurofuzzy modelling and the linguistic attributes of fuzzy logic in a single cohesive mathematical framework. After introducing the basic theory of data-based modelling, new concepts including extended additive and multiplicative submodels are developed and their extensions to state estimation and data fusion are derived. All these algorithms are illustrated with benchmark and real-life examples to demonstrate their efficiency. Chris Harris and his group have carried out pioneering work which has tied together the fields of neural networks and linguistic rule-based algortihms. This book is aimed at researchers and scientists in time series modeling, empirical data modeling, knowledge discovery, data mining, and data fusion.

In a world of almost permanent and rapidly increasing electronic data availability, techniques of filtering, compressing, and interpreting this data to transform it into valuable and easily comprehensible information is of utmost importance. One key topic in this area is the capability to deduce future system behavior from a given data input.

This book brings together for the first time the complete theory of data-based neurofuzzy modelling and the linguistic attributes of fuzzy logic in a single cohesive mathematical framework. After introducing the basic theory of data-based modelling, new concepts including extended additive and multiplicative submodels are developed and their extensions to state estimation and data fusion are derived. All these algorithms are illustrated with benchmark and real-life examples to demonstrate their efficiency.

Chris Harris and his group have carried out pioneering work which has tied together the fields of neural networks and linguistic rule-based algortihms. This book is aimed at researchers and scientists in time series modeling, empirical data modeling, knowledge discovery, data mining, and data fusion.

This is the first collection of translations of Chinese film theory to be published in English. By using translations rather than summaries, as other works have done, "Chinese Film Theory" provides readers with an introduction to the issues current in China's film circles. It includes eighteen chapters written by a broad range of writers--from well established scholars to young people at the beginning of their involvement in film in China. This collection indicates a trend away from the study of external qualities of film and toward a study of the film itself.

The volume has been carefully organized so that major issues are interrelated; thus, the book comprises an ongoing debate of film theory issues, progressing from earlier to most recent issues, following the debate concerning the relationship of film to literary arts, and looking at the debate over the relationship of film to culture. The book concludes that for the time being, debate has virtually ended because of the political situation in China. This book is an important new source to anyone interested in film studies, film theory, or Chinese studies.