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Redes Neurais de Hopfield como Ferramenta de Otimização Aplicado ao Despacho Hidrotérmico
| Content Provider | Semantic Scholar |
|---|---|
| Author | Aquino, Ronaldo R. B. De Carvalho, Manoel A. Souza, Benemar Alencar |
| Copyright Year | 2016 |
| Abstract | This paper presents an application of the A rtificial Neural Networks (ANN ) to solve the hydrothermal generation system dispatch problem. The ANN here used is the recurrents networks of “H opfield and Tank” after be improved by “ Kennedy and Chua ” . The dispatch problem is modeled as a linear programming problem(LPP) where the constrain matrix represents the energy balance an d the objective function search the minimum operation cost. The LPP is solved as a dynamic problem through analogs circuits as proposed by “Kennedy and Chua”. |
| Starting Page | 170 |
| Ending Page | 175 |
| Page Count | 6 |
| File Format | PDF HTM / HTML |
| DOI | 10.21528/CBRN1999-037 |
| Alternate Webpage(s) | http://abricom.org.br/wp-content/uploads/2016/03/4cbrn_037.pdf |
| Alternate Webpage(s) | https://doi.org/10.21528/CBRN1999-037 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
