Direction to Diagnosis by Artificial Neural Network
By: Sharma, Deepshikha
.
Contributor(s): Kashyap, Sunil Kumar.
Publisher: New Delhi Journals Pub 2019Edition: Vol.5(1), Jan-Jun.Description: 1-5p.Subject(s): EXTC EngineeringOnline resources: Click here
In:
International journal of embedded systems and emerging technologiesSummary: The diagnosis is presented by the Artificial Neural Network (ANN) in this paper. The method of diagnosis from the data over the ANN is discussed in this paper. The structure of ANN is classified by the coding and probability. Each neuron is set over the data for the diagnosis under the context of minimization of error and maximization of efficiency. Thus, the direction is presented over the mathematical analysis of ANN in this paper.
| Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|
Articles Abstract Database
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School of Engineering & Technology Archieval Section | Not for loan | 2020121 |
Total holds: 0
The diagnosis is presented by the Artificial Neural Network (ANN) in this paper. The method of diagnosis from the data over the ANN is discussed in this paper. The structure of ANN is classified by the coding and probability. Each neuron is set over the data for the diagnosis under the context of minimization of error and maximization of efficiency. Thus, the direction is presented over the mathematical analysis of ANN in this paper.
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