200,095 research outputs found

    SIR: A New Wireless Sensor Network Routing Protocol Based on Artificial Intelligence

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    Currently, Wireless Sensor Networks (WSNs) are formed by hundreds of low energy and low cost micro-electro-mechanical systems. Routing and low power consumption have become important research issues to interconnect this kind of networks. However, conventional Quality of Service routing models, are not suitable for ad hoc sensor networks, due to the dynamic nature of such systems. This paper introduces a new QoS-driven routing algorithm, named SIR: Sensor Intelligence Routing. We have designed an artificial neural network based on Kohonen self organizing features map. Every node implements this artificial neural network forming a distributed intelligence and ubiquitous computing system

    A Conexionist Intelligent System for Accounting

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    Neural networks are a computing paradigm developed from artificial intelligence and brain modelling’s fields, which lately has become very popular in business. Many researchers are seeing neural networks systems as solutions to business problems like modelling and forecasting, but accounting and audit were also touched by the new technology. The purpose of this paper is to present the ability of an artificial neural networks model to forecast and recognize patterns while analyzing company’s sales evolution. The monthly sales evolutions are considered a time-series and the target is to observe the ability of the investigated model to make predictions.accounting, neural networks, predictions, time-series, hybrid intelligent systems

    Comparative Study of Neural Networks Algorithms for Cloud Computing CPU Scheduling

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    Cloud Computing is the most powerful computing model of our time. While the major IT providers and consumers are competing to exploit the benefits of this computing model in order to thrive their profits, most of the cloud computing platforms are still built on operating systems that uses basic CPU (Core Processing Unit) scheduling algorithms that lacks the intelligence needed for such innovative computing model. Correspdondingly, this paper presents the benefits of applying Artificial Neural Networks algorithms in regards to enhancing CPU scheduling for Cloud Computing model. Furthermore, a set of characteristics and theoretical metrics are proposed for the sake of comparing the different Artificial Neural Networks algorithms and finding the most accurate algorithm for Cloud Computing CPU Scheduling

    Realization of Autonomous Soft Computing System Using Computational Intelligence Methods

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    Computational Intelligence or Soft Computing methods refer to three concepts viz. Artificial Neural Network, Fuzzy Systems and Evolutionary Algorithm (EA) or Genetic Algorithm (GA). The Computational Intelligence methodologies facilitate a better data acquisition from our everyday environment, and thus help in extending the capabilities of conventional computer systems

    Use of artificial intelligence in analytical systems for the clinical laboratory

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    The incorporation of information-processing technology into analytical systems in the form of standard computing software has recently been advanced by the introduction of artificial intelligence (AI), both as expert systems and as neural networks
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