Recurrent Neural Networks for Temporal Data Processing

• Tác giả: Hubert Cardot
• Ngôn ngữ: eng
• ISBN-13: 978-9535155218
• Ký hiệu phân loại: 651.8 Data processing Computer applications
• Thông tin xuất bản: IntechOpen, 2011
• Mô tả vật lý: 1 electronic resource (114 p.)
• Bộ sưu tập: Tài liệu truy cập mở
• ID: 206777
• Chủ đề: 1. Artificial intelligence

Tóm tắt

The RNNs (Recurrent Neural Networks) are a general case of artificial neural networks where the connections are not feed-forward ones only. In RNNs, connections between units form directed cycles, providing an implicit internal memory. Those RNNs are adapted to problems dealing with signals evolving through time. Their internal memory gives them the ability to naturally take time into account. Valuable approximation results have been obtained for dynamical systems.