Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Francisco Javier Marín Martín"'
Publikováno v:
Biological and Artificial Computation: From Neuroscience to Technology ISBN: 9783540630470
IWANN
IWANN
Two practical techniques: Time Series (TS) and Artificial Neural Networks (ANN), for the one-step-ahead short-term peak load forecasting have been proposed and discussed in this paper. We use weather variables since it is well known that better forec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::756eb59968d6afd98214b3a56378ebbb
https://doi.org/10.1007/bfb0032594
https://doi.org/10.1007/bfb0032594
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540594970
IWANN
IWANN
The Heuristic Terminal Attractor (H.T.A) [2,3] is one of the most widely used algorithms for training feedforward neural networks. This algorithm ensures the completion of the learning process in finite time, as well as reaching the global minimum of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f55ef2785f503e9798084a4aee2e315f
https://doi.org/10.1007/3-540-59497-3_216
https://doi.org/10.1007/3-540-59497-3_216
Publikováno v:
New Trends in Neural Computation ISBN: 9783540567981
IWANN
IWANN
In this paper, we proposed a different genetic model for optimizing both network architecture and connection weights of Discrete-Time Recurrent Neural Networks in evolutionary process. Empirical studies show that our model can efficiently generate th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8da02ffe545b7ea5ebd85293e477f58f
https://doi.org/10.1007/3-540-56798-4_144
https://doi.org/10.1007/3-540-56798-4_144