SVM ( Support Vector Machine ) is a new method in the artificial neural network ( ANN ). In the steel making, how to use computer to predict the end point of BOF accuracy is a great problem. A lot of method and theory have been claimed, but most of the results is not satisfied. Now the hot topic in the BOF end point predicting is to use optical way the predict the end point in the BOF. And we f...

A mode-constrained corpus-based synthesis strategy was developed for fundamental frequency (F0) contours of Japanese sentences. In the training phase, the relationship between linguistic factors and the command values (amplitudes and locations) of F0 contour generation process model was learned for a prediction module; a neural network in the current paper. Input parameters consist of linguisti...

We study the efficient evaluation of top-k queries over data items, where the score of each item is dynamically computed by applying an item-specific function whose parameter value is specified in the query. For example, online retail stores rank items by price, which may be a function of the quantity being queried: “Stay 3 nights, get a 15% discount on double-bed rooms.” Similarly, while ranki...

We use the theory of coupled cell systems to analyze a neuronal network model for generalized rivalry posed by H. Wilson. We focus on the case of rivalry between two patterns and identify conditions under which large networks of n attributes and m intensity levels can reduce to a model consisting of two or three cells depending on whether or not the patterns have any attribute levels in common....