Loading...
Please wait, while we are loading the content...
Power Systems Disturbance Classification Using Modular Neural Networks with Multilayers Experts
| Content Provider | Semantic Scholar |
|---|---|
| Author | Magalhães, Rafael Marrocos Santos, Carlos Silva Melo, Juliana Almeida Coelho De Medeiros, Manoel F. De Dória, Adrião Duarte Rafael, Campos R. Jdmelo, Firmino Adriao |
| Copyright Year | 2008 |
| Abstract | This work evaluates the effectiveness of a new hybrid algorithm in the training of modular neural networks with multilayers specialists. The algorithm is applied on the classification of electric disturbances previously characterized and pre-processed, making possible the comparison between its performance with multilayers perceptrons networks. It presents the algorithm’s development and inclusion of delta-bar-delta rule, such as the data acquisition methodology and its preprocessing. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://icrepq.com/icrepq-08/286-magalhaes.pdf |
| Alternate Webpage(s) | http://www.icrepq.com/icrepq-08/286-magalhaes.pdf |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Architecture as Topic Artificial neural network Data acquisition Delta aminolevulinate:SCnc:Pt:Urine:Qn Delta rule Electroconvulsive Therapy Hybrid algorithm IBM Power Systems Instability Modular neural network Neural Networks Perceptron Preprocessor Quad Flat No-leads package Turing completeness gamma-delta T-Cell Receptor |
| Content Type | Text |
| Resource Type | Article |
