Open access peer-reviewed Edited Volume

Recent Trends in Artificial Neural Networks

from Training to Prediction

Edited by Ali Sadollah

University of Science and Culture


Carlos Travieso-Gonzalez

University of Las Palmas de Gran Canaria

Artificial intelligence (AI) is everywhere and it's here to stay. Most aspects of our lives are now touched by artificial intelligence in one way or another, from deciding what books or flights to buy online to whether our job applications are successful, whether we receive a bank loan, and even what treatment we receive for cancer. Artificial Neural Networks (ANNs) as a part of AI maintains the capacity to solve problems such as regression and classification with high levels of accuracy. This book aims to discuss the usage of ANNs for optimal solving of time series applications and clustering. Bounding of optimization methods particularly metaheuristics considered as global optimizers with ANNs make a strong and reliable prediction tool for handling real-life application. This book also demonstrates how different fields of studies utilize ANNs proving its wide reach and relevance.

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Recent Trends in Artificial Neural Networksfrom Training to PredictionEdited by Ali Sadollah

Published: March 4th 2020

DOI: 10.5772/intechopen.77409

ISBN: 978-1-78985-420-6

Print ISBN: 978-1-78985-419-0

eBook (PDF) ISBN: 978-1-78985-859-4

Copyright year: 2020

Books open for chapter submissions

2166 Total Chapter Downloads

3 Crossref Citations

4 Dimensions Citations


Open access peer-reviewed

1. Time Series from Clustering: An Approach to Forecast Crime Patterns

By Miguel Melgarejo, Cristian Rodriguez, Diego Mayorga and Nelson Obregón


Open access peer-reviewed

2. Encountered Problems of Time Series with Neural Networks: Models and Architectures

By Paola Andrea Sánchez-Sánchez, José Rafael García-González and Leidy Haidy Perez Coronell


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3. Electric Transmission Network Expansion Planning with the Metaheuristic Variable Neighbourhood Search

By Silvia Lopes de Sena Taglialenha and Rubén Augusto Romero Lázaro


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4. An Improved Algorithm for Optimising the Production of Biochemical Systems

By Mohd Arfian Ismail, Vitaliy Mezhuyev, Mohd Saberi Mohamad, Shahreen Kasim and Ashraf Osman Ibrahim


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5. Object Recognition Using Convolutional Neural Networks

By Richardson Santiago Teles de Menezes, Rafael Marrocos Magalhaes and Helton Maia


Open access peer-reviewed

6. Prediction of Wave Energy Potential in India: A Fuzzy-ANN Approach

By Soumya Ghosh and Mrinmoy Majumder


Open access peer-reviewed

7. Deep Learning Training and Benchmarks for Earth Observation Images: Data Sets, Features, and Procedures

By Mihai Datcu, Gottfried Schwarz and Corneliu Octavian Dumitru


Open access peer-reviewed

8. Data Mining Technology for Structural Control Systems: Concept, Development, and Comparison

By Meisam Gordan, Zubaidah Ismail, Zainah Ibrahim and Huzaifa Hashim


Edited Volume and chapters are indexed in

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

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