A theoretical comparison of batch-mode, on-line, cyclic, and almost-cyclic learning
نویسندگان
چکیده
منابع مشابه
A theoretical comparison of batch-mode, on-line, cyclic, and almost-cyclic learning
We study and compare different neural network learning strategies: batch-mode learning, online learning, cyclic learning, and almost-cyclic learning. Incremental learning strategies require less storage capacity than batch-mode learning. However, due to the arbitrariness in the presentation order of the training patterns, incremental learning is a stochastic process; whereas batch-mode learning...
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ژورنال
عنوان ژورنال: IEEE Transactions on Neural Networks
سال: 1996
ISSN: 1045-9227,1941-0093
DOI: 10.1109/72.508935