Recurrent Neural Networks

✍ Xiaolin Hu and P. Balasubramaniam 📂 Library 📅 2008 🏛 InTech 🌐 English

The concept of neural network originated from neuroscience, and one of its primitive aims is to help us understand the principle of the central nerve system and related behaviors through mathematical modeling. The first part of the book is a collection of three contributions dedicated to this aim. T

Learning with recurrent neural networks

📁 Learning with recurrent neural networks

✍ Barbara Hammer 📂 Library 📅 2000 🏛 Springer 🌐 English

Folding networks, a generalisation of recurrent neural networks to tree structured inputs, are investigated as a mechanism to learn regularities on classical symbolic data, for example. The architecture, the training mechanism, and several applications in different areas are explained. Afterwards a

Learning with recurrent neural networks

📁 Learning with recurrent neural networks

✍ Barbara Hammer (auth.) 📂 Library 📅 2000 🏛 Springer-Verlag London 🌐 English

<p>Folding networks, a generalisation of recurrent neural networks to tree structured inputs, are investigated as a mechanism to learn regularities on classical symbolic data, for example. The architecture, the training mechanism, and several applications in different areas are explained. Afterwards

Learning with recurrent neural networks

📁 Learning with recurrent neural networks

✍ Barbara Hammer 📂 Library 📅 2000 🏛 Springer 🌐 English

Folding networks, a generalisation of recurrent neural networks to tree structured inputs, are investigated as a mechanism to learn regularities on classical symbolic data, for example. The architecture, the training mechanism, and several applications in different areas are explained. Afterwards a

Recurrent Neural Networks: Design and Ap

📁 Recurrent Neural Networks: Design and Applications

✍ Larry Medsker, Lakhmi C. Jain 📂 Library 📅 1999 🏛 CRC Press 🌐 English

With existent uses ranging from motion detection to music synthesis to financial forecasting, recurrent neural networks have generated widespread attention. The tremendous interest in these networks drives Recurrent Neural Networks: Design and Applications, a summary of the design, applications, cu

Recurrent neural networks : design and a

📁 Recurrent neural networks : design and applications

✍ L C Jain 📂 Library 📅 2001 🏛 CRC Press 🌐 English