"Advanced Applications for Artificial Neural Networks" ed. by Adel El-Shahat

In this book, highly qualified multidisciplinary scientists grasp their recent researches motivated by the importance of artificial neural networks.

The book 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.

Contents
1 Introductory Chapter: Artificial Neural Networks
2 Modulation Format Recognition Using Artificial Neural Networks for the Next Generation Optical Networks
3 Gait Generation of Multilegged Robots by using Hardware Artificial Neural Networks
4 Using Artificial Neural Networks to Produce High-Resolution Soil Property Maps
5 Dynamic Factor Model and Artificial Neural Network Models: To Combine Forecasts or Combine Models?
6 Parameter Recognition of Engineering Constants of CLSMs in Civil Engineering Using Artificial Neural Networks
7 Electricity Consumption and Generation Forecasting with Artificial Neural Networks
8 Advanced Process Control
9 Breast Cancer Detection by Means of Artificial Neural Networks
10 Applications of Artificial Neural Networks in Biofuels
11 ANN Modelling to Optimize Manufacturing Process
12 Artificial Neural Networks (ANNs) for Spectral Interference Correction Using a Large-Size Spectrometer and ANN-Based Deep Learning for a Miniature One
13 Solar Radiation Prediction Using NARX Model
14 Data Assimilation by Artificial Neural Networks for an Atmospheric General Circulation Model