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DC Field | Value | Language |
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dc.contributor.author | Priya, Ishu | - |
dc.contributor.author | Saini, Hemraj [Guided by] | - |
dc.date.accessioned | 2022-09-27T10:12:01Z | - |
dc.date.available | 2022-09-27T10:12:01Z | - |
dc.date.issued | 2019 | - |
dc.identifier.uri | http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/6926 | - |
dc.description.abstract | Artificial Neural Networks (ANN) refers to the academic and intellectual investigations which make use of mathematical formulations for modeling the operations based on nervous system. These are helpful in a variety of everyday applications. Neural Networks refer to a meaningfully another approach for using computers in the workplace. A neural network is used to represent patterns and relations in data. It does not require explicit coding of the various problems. It contains various interconnected group of several artificial neurons and generates information using a connection – oriented approach for further computation. Fuzzy logic consists of values ranging between 0s and 1s. Neuro –Fuzzy hybrid systems combine the advantages of both fuzzy systems as well as neural networks in which fuzzy systems are well explained and understood | en_US |
dc.language.iso | en | en_US |
dc.publisher | Jaypee University of Information Technology, Solan, H.P. | en_US |
dc.subject | Artificial Neural Networks | en_US |
dc.subject | Fuzzy hybrid systems | en_US |
dc.subject | Neuro fuzzy systems | en_US |
dc.subject | Epilepsy detection | en_US |
dc.title | Epilepsy Detection using Neuro Fuzzy Systems | en_US |
dc.type | Project Report | en_US |
Appears in Collections: | B.Tech. Project Reports |
Files in This Item:
File | Description | Size | Format | |
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Epilepsy Detection using Neuro Fuzzy Systems.pdf | 2.13 MB | Adobe PDF | View/Open |
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