The convergence of computational intelligence (CI) and applied electronics has heralded a new era of innovation and advancement in various fields. Computational intelligence techniques, including artificial neural networks, fuzzy logic, evolutionary algorithms, and swarm intelligence, offer powerful tools for solving complex problems in applied electronics. From optimizing circuit designs to enhancing signal processing algorithms, CI has demonstrated its efficacy in addressing challenges across diverse domains such as telecommunications, consumer electronics, renewable energy systems, and medical devices. As the demand for intelligent electronic systems continues to grow, understanding and harnessing the potential of computational intelligence becomes imperative for researchers, engineers, and practitioners in the field of applied electronics. Computational Intelligence in Mechatronics provides a comprehensive exploration of the diverse applications of computational intelligence in the realm of applied electronics. By compiling cutting-edge research and practical case studies, this book bridges the gap between theory and practice, offering insights into how CI techniques can be effectively utilized to solve real-world problems in electronic systems design, analysis, and optimization. Through a combination of theoretical foundations, algorithmic implementations, and practical examples, the reader will gain a deeper understanding of the potential benefits and limitations of CI in various applications within the field of applied electronics.

• Explains the potential of computational intelligence in the field of applied electronics
• Combines theoretical foundations, algorithmic implementations, and practical examples
• Inspires further research, innovation, and collaboration in leveraging computational intelligence to address the evolving challenges and opportunities in applied electronics