International Conference

Permanent URI for this collectionhttps://dspace.psgrkcw.com/handle/123456789/151

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Subject: search.filters.subject.Machine Learning

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    ANALYSIS ON ARTIFICIAL NEURAL NETWORK AND ITS APPLICATIONS
    (PKR Arts College for Women, 2018-08) Selvanayaki M; Mohanapriya S
    Network is an approach of gathering simple elements to produce complex system. There are a large number of different types of networks, but they all are characterized by the following components: a set of nodes, and connections between nodes. The nodes can be seen as computational units. They receive inputs, and process them to obtain an output. This processing might be very simple (such as summing the inputs), or quite complex (a node might contain another network). The connections determine the information flow between nodes. They can be unidirectional, when the information flows only in one sense, and bidirectional, when the information flows in either sense. The interactions of nodes though the connections lead to a global behavior of the network, which cannot be observed in the elements of the network. This means that the abilities of the network supercede the ones of its elements, making networks a very powerful tool.
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    STUDY ON MACHINE LEARNING TECHNIQUES USING SVM
    (Pioneer College of Arts and Science, Coimbatore, 2017-01-06) Selvanayaki M; Anushya Devi T S
    Machine Learning is the study of computer algorithms that improve automatically through experience. Applications range from data mining programs that discover general rules in large data sets, to information filtering systems that automatically learn user’s interests. An important task of machine learning is classification, also referred as pattern recognition; where one attempts to build algorithms capable of automatically constructing methods for distinguish between different exemplars. This paper deals about different machine learning techniques for the prediction process.
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    ANALYSIS ON ARTIFICIAL NEURAL NETWORK AND ITS APPLICATIONS
    (PKR Arts College for Women, 2018-08) Selvanayaki M; MohanaPriya S
    Network is an approach of gathering simple elements to produce complex system. There are a large number of different types of networks, but they all are characterized by the following components: a set of nodes, and connections between nodes. The nodes can be seen as computational units. They receive inputs, and process them to obtain an output. This processing might be very simple (such as summing the inputs), or quite complex (a node might contain another network). The connections determine the information flow between nodes. They can be unidirectional, when the information flows only in one sense, and bidirectional, when the information flows in either sense. The interactions of nodes though the connections lead to a global behavior of the network, which cannot be observed in the elements of the network. This means that the abilities of the network supercede the ones of its elements, making networks a very powerful tool.