An abstract of the thesis of Andres Anibal Rustan for the Masters of Science in Electrical and Computer Engineering were presented November 1, 1999. Title: Improving Hardware Branch Predictors using Artificial Neural Networks This research shows that using an Artificial Neural Network as the hardware branch predictor of a microprocessor leads to performance as good as standard branch predictors...

In this paper we present a novel method for jointly extracting beats and downbeats from audio signals. A recurrent neural network operating directly on magnitude spectrograms is used to model the metrical structure of the audio signals at multiple levels and provides an output feature that clearly distinguishes between beats and downbeats. A dynamic Bayesian network is then used to model bars o...

there is little consensus on the corporate diversification-efficiency relationship in the diversification literature. according to the corporate diversification, firms have a tendency to get more market share with diversifying in the local segment or in the international market. theoretically, a contradictory exists between the profitable strategy and the value reducing strategy in the diversif...

over the last decade or so, artificial neural networks (anns) have become one of the most promising tools formodelling hydrological processes such as rainfall runoff processes. however, the employment of a single model doesnot seem to be an appropriate approach for modelling such a complex, nonlinear, and discontinuous process thatvaries in space and time. for this reason, this study aims at de...

the successful key of trading in the forex market is the selection of correct exchange in proper time based on an exact prediction of future exchange rate. foreign exchange rates are affected by many correlated economic, political and even psychological factors. therefore, in order to achieve a profitable trade these factors should be considered. the application of intelligent techniques for fo...

During the past few years, modeling in agriculture has attracted considerable attention. New modeling methods including neural networks are employed in various industries, and it is necessary that their use in agriculture be also considered. This research addressed the trend of energy use in broiler farms in Alborz Province and sought to model the trend of energy consumption and production in t...

A bstract The muon collider provides a unique opportunity to study the vector boson scattering processes and dimension-8 operators contributing anomalous quartic gauge couplings (aQGCs). Because of cleaner final state, it is easier decode subprocess certain operator at collider. We attempt identify WWWW coupling in exclusive WW ? this paper. Since one aQGC can be induced by multiple operators, ...

This paper presents a review of applications of artificial neural networks in biomedical engineering area. Artificial neural networks in general are explained; some limitations and some proven benefits of neural networks are discussed. Use of art ificial neural network techniques in various biomedical engineering applications is summarised. A case study is used to demonstrate the efficacy of ar...