Recurrent Neural Networks

✍ Scribed by Xiaolin Hu and P. Balasubramaniam

Publisher: InTech
Year: 2008
Tongue: English
Leaves: 410
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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. The second part of the book consists of seven chapters, all of which are about system identification and control. The third part of the book is composed of Chapter 11 and Chapter 12, where two interesting RNNs are discussed, respectively.The fourth part of the book comprises four chapters focusing on optimization problems. Doing optimization in a way like the central nerve systems of advanced animals including humans is promising from some viewpoints.

📜 SIMILAR VOLUMES

Recurrent Neural Networks

📁 Recurrent Neural Networks

📂 Library 🌐 English

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

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