Utilize este identificador para referenciar este registo:
http://hdl.handle.net/10071/29448| Autoria: | Trigueiros, D. Berry, R. H. |
| Editor: | Robert R Trippi Efraim Turban |
| Data: | 1993 |
| Título próprio: | Applying neural networks to the extraction of knowledge from accounting reports: A classification study |
| Título e volume do livro: | Neural networks in finance and investing: Using artificial intelligence to improve real-world performance |
| Paginação: | 103 - 123 |
| Referência bibliográfica: | Trigueiros, D., & Berry, R. H. (1993). Applying neural networks to the extraction of knowledge from accounting reports: A classification study. Em R. R Trippi, & E. Turban (Eds.). Neural networks in finance and investing: Using artificial intelligence to improve real-world performance (pp. 103-123). Probus. http://hdl.handle.net/10071/29448 |
| ISBN: | 9781557384522 |
| Palavras-chave: | Neural networks Financial modelling Predictors selection |
| Resumo: | This study develops a new approach to the problem of extracting meaningful information from samples of accounting reports. Neural networks are shown to be capable of building structures similar to financial ratios, which are optimal in the context of the particular problem being dealt with. This approach removes the need for an analyst to search for appropriate ratios before model building can begin. |
| Arbitragem científica: | yes |
| Acesso: | Acesso Aberto |
| Aparece nas coleções: | ISTAR-CLI - Capítulos de livros internacionais |
Ficheiros deste registo:
| Ficheiro | Tamanho | Formato | |
|---|---|---|---|
| bookPart_34151.pdf | 853,04 kB | Adobe PDF | Ver/Abrir |
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