This paper presents a novel Nearest Neighbor (NN) classifier. NN classification is a well studied method for pattern classification having the following properties; * it performs maximum-margin classification and achieves less than the twice of ideal Bayesian error, * it does not require the knowledge on pattern distributions, kernel functions or base classifiers, and * it can naturally be appl...

Inclusive jet production in pPb collisions at a nucleon–nucleon (NN) center-of-mass energy of √ s NN = 5.02 TeV is studied with the CMS detector at the LHC. A data sample corresponding to an integrated luminosity of 30.1 nb −1 is analyzed. The jet transverse momentum spectra are studied in seven pseudorapidity intervals covering the range −2.0 < η CM < 1.5 in the NN center-of-mass frame. The je...

Text categorization refers to the task of assigning the pre-defined classes to text documents based on their content. k-NN algorithm is one of top performing classifiers on text data. However, there is little research work on the use of different voting methods over text data. Also, when a huge number of training data is available online, the response speed slows down, since a test document has...

This paper proposes an improved version of particle swarm optimization (PSO) algorithm for the training of a neural network (NN). An architecture for the NN trained by PSO (standard PSO, improved PSO) is also introduced. This architecture has a data preprocessing mechanism which consists of a normalization module and a data-shuffling module. Experimental results showed that the NN trained by im...

We use Neural Networks (NN) in order to design control architectures for autonomous mobile robots. With PVM, it is possible to spawn different parts of a NN on different workstations. Specific message passing functions using PVM may be included into the NN architecture. A graphical interface helps the user spawning the NN architecture, and monitors the messages exchanged between the different s...

We chronicle the research on the fusion technology of neural networks and fuzzy systems (NN+FS), the models that have been proposed from this research, and the commercial products and industrial systems that have adopted these models. First, we review the NN+FS research activity during the early stages in Japan, the US, and Europe. Next, following the classification of NN+FS models, we show the...