Coping with incomplete training data in neuro-fuzzy models: a prior knowledge perspective (1996)
- Autor:
- Autor USP: MARUYAMA, NEWTON - EP
- Unidade: EP
- Assunto: SISTEMAS - MODELAGEM
- Language: Inglês
- Imprenta:
- Conference titles: Seminario de Controle e Modelamento Inteligente
-
ABNT
MARUYAMA, Newton. Coping with incomplete training data in neuro-fuzzy models: a prior knowledge perspective. 1996, Anais.. São Paulo: Epmc-Las, 1996. Disponível em: https://repositorio.usp.br/directbitstream/9b82fc94-8987-4221-87c4-9f78f9128d3f/Maruyama-1996-coping%20with%20incomplete%20training%20data.pdf. Acesso em: 24 abr. 2024. -
APA
Maruyama, N. (1996). Coping with incomplete training data in neuro-fuzzy models: a prior knowledge perspective. In . São Paulo: Epmc-Las. Recuperado de https://repositorio.usp.br/directbitstream/9b82fc94-8987-4221-87c4-9f78f9128d3f/Maruyama-1996-coping%20with%20incomplete%20training%20data.pdf -
NLM
Maruyama N. Coping with incomplete training data in neuro-fuzzy models: a prior knowledge perspective [Internet]. 1996 ;[citado 2024 abr. 24 ] Available from: https://repositorio.usp.br/directbitstream/9b82fc94-8987-4221-87c4-9f78f9128d3f/Maruyama-1996-coping%20with%20incomplete%20training%20data.pdf -
Vancouver
Maruyama N. Coping with incomplete training data in neuro-fuzzy models: a prior knowledge perspective [Internet]. 1996 ;[citado 2024 abr. 24 ] Available from: https://repositorio.usp.br/directbitstream/9b82fc94-8987-4221-87c4-9f78f9128d3f/Maruyama-1996-coping%20with%20incomplete%20training%20data.pdf - Intelligent UUVs: some issues on ROV dynamic positioning
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