Beyond Feedforward Models Trained by Backpropagation: A Practical Training Tool for a More Efficient Universal Approximator

标题
Beyond Feedforward Models Trained by Backpropagation: A Practical Training Tool for a More Efficient Universal Approximator
作者
关键词
-
出版物
IEEE TRANSACTIONS ON NEURAL NETWORKS
Volume 19, Issue 6, Pages 929-937
出版商
Institute of Electrical and Electronics Engineers (IEEE)
发表日期
2008-05-30
DOI
10.1109/tnn.2008.2000396

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