Machine learning
长短期记忆网络
长短期记忆网络（LSTM）是一种循环神经网络架构，由Sepp Hochreiter和Jürgen Schmidhuber于1997年提出，能够学习序列数据中的长期依赖关系，并广泛用于时间序列和序列预测。它维护一个内部记忆，使信息能够跨越多个时间步保持不变。
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来源
- Hochreiter, S. & Schmidhuber, J. (1997). Long Short-Term Memory. Neural Computation, 9(8), 1735–1780. DOI: 10.1162/neco.1997.9.8.1735 ↗
如何引用本页
ScholarGate. (2026, June 1). Long Short-Term Memory Network. ScholarGate. https://scholargate.app/zh/deep-learning/lstm
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Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
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