TY - CHAP A1 - Yonghong Tan A2 - Ruili Dong A3 - Hui Chen ED1 - Hubert Cardot Y1 - 2011-02-09 PY - 2011 T1 - Modeling of Hysteresis in Human Meridian System with Recurrent Neural Networks N2 - 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. BT - Recurrent Neural Networks for Temporal Data Processing SP - Ch. 4 UR - https://doi.org/10.5772/15874 DO - 10.5772/15874 SN - PB - IntechOpen CY - Rijeka Y2 - 2021-06-18 ER -