Open access peer-reviewed Edited Volume

Advanced Applications for Artificial Neural Networks

In this book, highly qualified multidisciplinary scientists grasp their recent researches motivated by the importance of artificial neural networks. It addresses advanced applications and innovative case studies for the next-generation optical networks based on modulation recognition using artificial neural networks, hardware ANN for gait generation of multi-legged robots, production of high-resolution soil property ANN maps, ANN and dynamic factor models to combine forecasts, ANN parameter recognition of engineering constants in Civil Engineering, ANN electricity consumption and generation forecasting, ANN for advanced process control, ANN breast cancer detection, ANN applications in biofuels, ANN modeling for manufacturing process optimization, spectral interference correction using a large-size spectrometer and ANN-based deep learning, solar radiation ANN prediction using NARX model, and ANN data assimilation for an atmospheric general circulation model.

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Advanced Applications for Artificial Neural NetworksEdited by Adel El-Shahat

Published: February 28th 2018

DOI: 10.5772/intechopen.68505

ISBN: 978-953-51-3781-8

Print ISBN: 978-953-51-3780-1

Copyright year: 2018

Books open for chapter submissions

3651 Total Chapter Downloads

1 Crossref Citations

5 Dimensions Citations

chaptersDownloads

Open access peer-reviewed

1. Introductory Chapter: Artificial Neural Networks

By Adel El-Shahat

314

Open access peer-reviewed

2. Modulation Format Recognition Using Artificial Neural Networks for the Next Generation Optical Networks

By Latifa Guesmi, Habib Fathallah and Mourad Menif

183

Open access peer-reviewed

3. Gait Generation of Multilegged Robots by using Hardware Artificial Neural Networks

By Ken Saito, Masaya Ohara, Mizuki Abe, Minami Kaneko and Fumio Uchikoba

183

Open access peer-reviewed

4. Using Artificial Neural Networks to Produce High-Resolution Soil Property Maps

By Zhengyong Zhao, Fan-Rui Meng, Qi Yang and Hangyong Zhu

229

Open access peer-reviewed

5. Dynamic Factor Model and Artificial Neural Network Models: To Combine Forecasts or Combine Models?

By Ali Babikir, Mustafa Mohammed and Henry Mwambi

173

Open access peer-reviewed

6. Parameter Recognition of Engineering Constants of CLSMs in Civil Engineering Using Artificial Neural Networks

By Li-Jeng Huang

164

Open access peer-reviewed

7. Electricity Consumption and Generation Forecasting with Artificial Neural Networks

By Adela Bâra and Simona Vasilica Oprea

216

Open access peer-reviewed

8. Advanced Process Control

By Nasser Mohamed Ramli

209

Open access peer-reviewed

9. Breast Cancer Detection by Means of Artificial Neural Networks

By Jose Manuel Ortiz-Rodriguez, Carlos Guerrero-Mendez, Maria del Rosario Martinez-Blanco, Salvador Castro-Tapia, Mireya Moreno- Lucio, Ramon Jaramillo-Martinez, Luis Octavio Solis-Sanchez, Margarita de la Luz Martinez-Fierro, Idalia Garza-Veloz, Jose Cruz Moreira Galvan and Jorge Alberto Barrios Garcia

227

Open access peer-reviewed

10. Applications of Artificial Neural Networks in Biofuels

By Alex Oliveira Barradas Filho and Isabelle Moraes Amorim Viegas

243

Open access peer-reviewed

11. ANN Modelling to Optimize Manufacturing Process

By Luigi Alberto Ciro De Filippis, Livia Maria Serio, Francesco Facchini and Giovanni Mummolo

393

Open access peer-reviewed

12. Artificial Neural Networks (ANNs) for Spectral Interference Correction Using a Large-Size Spectrometer and ANN-Based Deep Learning for a Miniature One

By Z. Li, X. Zhang, G. A. Mohua and Vassili Karanassios

287

Open access peer-reviewed

13. Solar Radiation Prediction Using NARX Model

By Ines Sansa and Najiba Mrabet Bellaaj

620

Open access peer-reviewed

14. Data Assimilation by Artificial Neural Networks for an Atmospheric General Circulation Model

By Rosangela Saher Cintra and Haroldo F. de Campos Velho

210

Edited Volume and chapters are indexed in

  • Worldcat
  • OpenAIRE
  • Google Scholar
  • AZ ebsco
  • Base
  • CNKI
  • IET Inspec

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