Implementation of Automatic Email Classification with Neural Network using Back Propagation Technique
Khanaa. V1, Kumaravel. A2, Thirunavukkarasu. S3
1Khanaa V, Assistant Professor, Department of Information and Technology, Bharath Institute of Higher Education and Research, Chennai (Tamil Nadu), India.
2Kumaravel A, Assistant Professor, Department of Information and Technology, Bharath Institute of Higher Education and Research, Chennai (Tamil Nadu), India.
3Thirunavukkarasu S, Assistant Professor, Department of Information and Technology, Bharath Institute of Higher Education and Research, Chennai (Tamil Nadu), India.
Manuscript received on 14 September 2019 | Revised Manuscript received on 23 September 2019 | Manuscript Published on 10 October 2019 | PP: 660-664 | Volume-8 Issue-6S2, August 2019 | Retrieval Number: F11930886S219/19©BEIESP | DOI: 10.35940/ijeat.F1193.0886S219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This article suggests a substitute email frameworks ideal expending a checked multi-layer neural structure to exhibit a backspreading structure. Backpropagation changes the mass of the Associate in Nursing aAggregate in degree to the tumult up of the unit (checked or yield) discharged up by the weight and its commitment. The framework work structure remains until a sort of end premise, a mean-square abuse, or a wide level of affiliations. Email has ended up being one of the snappiest and most fit sorts of correspondence. In any case, the improvement of email clients with a goliath level of email messages may affect unstructured letter drops, email blockage, and email congestionobjective Is by using Scientific Assessment to choose Identify in Home care Maximum, a unique choice customer’s email content that changes the a mammoth degree of a hot locale of the most animal words required, sentences in messages.
Keywords: Datamining, Classification, Vector Machine Support, Backpropagation, Neural Network.
Scope of the Article: Classification