The development of parallel batch pattern back propagation training algorithm of multilayer perceptron and its scalability research on general-purpose parallel computer are presented in this paper. The model of multilayer perceptron and batch pattern training algorithm are theoretically described. The algorithmic description of the parallel batch pattern training method is presented. The scalab...

Support vector machine (SVM) classifiers represent one of the most powerful and promising tools for solving classification problems. In the past decade SVMs have been shown to have excellent performance in the field of data mining. The standard SVM classifier treats all instances equally. However, in many applications we have different levels of confidence in different instances that belong to ...

Information Extraction (IE) has two anchor points: (i) entity-centric information leads to an Entity Profile (EP); (ii) action-centric information leads to an Event Scenario. Based on a pipelined architecture which involves both document-level IE and corpus-level IE, a multi-level modular approach to EP extraction from large corpora is described: (i) named entity tagging; (ii) three-level patte...

This paper presents computer simulation of the influence of the operator's body on the performance of a portable radio in mobile environments. Due to the human body blocking and absorption effects, the antenna pattern is significantly changed and a strong cross-polarized field is induced. An approach called modified Doppler power spectrum (MDPS) method is proposed to study the influence by an o...

In this paper we explore how functional and anatomical constraints and resource optimization could be combined to obtain a canonical cortical micro-circuit and an explanation for its laminar organization. We start with the assumption that cortical regions are involved in Bayesian Belief Propagation. This imposes a set of constraints on the type of neurons and the connection patterns between neu...

-This paper presents a mathematical analysis of the occurrence of temporary minima during training of a single-output, two-layer neural network, with learning according to the back-propagation algorithm. A new vector decomposition method is introduced, which simplifies the mathematical analysis of learning of neural networks considerably. The analysis shows that temporary minima are inherent to...

We describe a large-scale simulation of the seismic wave propagation from the 2011 Tohoku-Oki earthquake. We combine structure models for topography, sediments, crust and subducting plates to construct a 3D structure model for the northeastern Japan area. Then we simulate the near-field wave propagation by using a FDTD method which is accelerated by the use of multi-GPUs (Graphics Processing Un...

In this Letter we provide what is believed to be the first experimental evidence of suppression of the number of filaments for high-intensity laser pulses propagating in air by beam astigmatism. We also show that the number, pattern, and spatial stability of the filaments can be controlled by varying the angle that a focusing lens makes with the axial direction of propagation. This new methodol...

*1 MIMO: Wireless communications technology for expanding transmission capacity by using multiple transmit/receive antennas. *2 Propagation channel: An individual communication path in wireless communications. In this article, a communication path between transmit/receive antennas. *3 Eigenmode transmission: A MIMO multiple transmission system that transmits signals by arranging the pattern on ...