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Innovative Trends in Computational Intelligence

Innovative Trends in Computational Intelligence

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This book discusses computational intelligence approaches that use human-like reasoning methods, such as swarm intelligence, artificial immune systems, and image processing, to solve complex problems.

Format: Paperback / softback
Length: 288 pages
Publication date: 30 November 2022
Publisher: Springer Nature Switzerland AG


Computational intelligence (CI) is a field that seeks to address complex problems by leveraging advanced computing technologies. It faces several challenges, such as the complexity of the computational process, uncertainties during execution, and the inherent randomness of the process. To overcome these challenges, researchers employ methods that mimic human reasoning, utilizing available information to generate controlled actions in an adaptive manner.

The book explores various approaches to CI, including swarm intelligence, artificial immune systems, image processing, data mining, natural language processing, text mining, and other solutions involving artificial intelligence methodologies. These approaches aim to solve complex problems by leveraging the strengths of different algorithms and techniques.

One of the key challenges in CI is the complexity of the computational process. Traditional mathematical reasoning may not be sufficient to handle the intricate calculations required for certain problems. Therefore, researchers develop new algorithms and techniques that can efficiently process large amounts of data and make informed decisions.

Uncertainties during the computational process are another challenge. CI systems often operate in uncertain environments where the input data may be incomplete or inaccurate. To address this, researchers develop methods that can handle uncertainty and make predictions based on limited information.

The inherent randomness of the computational process is also a challenge. CI systems must be able to adapt to changing conditions and make decisions based on random input. Researchers develop algorithms that can learn from experience and improve their performance over time.

Overall, the book provides a comprehensive overview of the challenges and solutions in the field of computational intelligence. It highlights the importance of developing methods that mimic human reasoning and utilize advanced computing technologies to solve complex problems. The approaches presented in the book have the potential to revolutionize various industries, such as healthcare, finance, and transportation.

Weight: 474g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030782863
Edition number: 1st ed. 2022

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