@article{1450189,
      recid = {1450189},
      author = {Castillo, Oscar, and Melin, Patricia,},
      title = {New perspectives on hybrid intelligent system design based  on fuzzy logic, neural networks and metaheuristics /},
      pages = {1 online resource :},
      abstract = {In this book, recent developments on fuzzy logic, neural  networks and optimization algorithms, as well as their  hybrid combinations, are presented. In addition, the  above-mentioned methods are applied to areas such as,  intelligent control and robotics, pattern recognition,  medical diagnosis, time series prediction and optimization  of complex problems. The book contains a collection of  papers focused on hybrid intelligent systems based on soft  computing techniques. There are some papers with the main  theme of type-1 and type-2 fuzzy logic, which basically  consists of papers that propose new concepts and algorithms  based on type-1 and type-2 fuzzy logic and their  applications. There also some papers that offer theoretical  concepts and applications of meta-heuristics in different  areas. Another group of papers describe diverse  applications of fuzzy logic, neural networks and hybrid  intelligent systems in medical problems. There are also  some papers that present theory and practice of neural  networks in different areas of application. In addition,  there are papers that present theory and practice of  optimization and evolutionary algorithms in different areas  of application. Finally, there are some papers describing  applications of fuzzy logic, neural networks and  meta-heuristics in pattern recognition and classification  problems. .},
      url = {http://library.usi.edu/record/1450189},
      doi = {https://doi.org/10.1007/978-3-031-08266-5},
}