Practical Artificial Intelligence in Julia: Implementing Neural Networks, Genetic Algorithms, and Neuroevolution in Julia - Brossura

Bergel, Alexandre

Brossura

ISBN 13: 9798868825941

Casa editrice: APRESS L.P., 2026

Riassunto

Develop a thorough grasp of artificial intelligence through practical implementations in Julia. This trailblazing book covers classical AI algorithms and provides practical implementations of agile AI applications, highlighting Julia's versatility and high-performance capabilities for AI development.

This book takes a practical approach to ensure that readers translate theoretical concepts into tangible, real-world scenarios. Along the way, you will learn and implement neural networks, genetic algorithms, and neuroevolution from scratch. Author Dr. Alexandre Bergel uses practical examples, such as solutions to the traveling sales problem and a fun platform game (including a random level generator) to reinforce AI techniques. It also introduces Darwinian evolution principles, demonstrating how to evolve zoomorphic organisms to solve particular tasks, such as stair climbing or going over obstacles.

This book stands out as among the earliest to delve into Genertic Algorithms and Neuroevolutions in Julia, and it is one of the few available that offers a comprehensive implementation of Neuroevolution. It is equally as fun as it is informative, providing readers with source code to play along with and apply to future projects.

 

What You Will Learn:

• Solve simple classification tasks using neural networks
• Use genetic algorithms to solve complex algorithmic problems
• Apply Darwinian evolution principles to evolve artificially living creatures
• Discover how to Neuroevolution to build an artificial player to solve a platform game

 

Who This Book is For:

This book is written for software engineers, programmers and developers who are eager to gain practical insights into AI implementation using Julia at a beginner/intermediate level

Su questo libro

Informazioni sull'autore

Dr. Alexandre Bergel has been a senior researcher at the German Aerospace Center (DLR) since 2026. Previously, he was a computer scientist at RelationalAI (Switzerland/USA) and an associate professor at the University of Chile. Dr. Bergel and his collaborators conduct research in software engineering and artificial intelligence for critical software systems.

He has authored over 180 articles published in international, peer-reviewed scientific forums, including the most competitive conferences and journals in software engineering. He has served on over 185 program committees for international events. Several of his research prototypes have been developed into products adopted by major companies in the semiconductor industry and for software certification.

He is the author of four other books: Agile Visualization with Pharo, Agile Artificial Intelligence in Pharo, Agile Visualization, and Deep Into Pharo.

Dalla quarta di copertina

Develop a thorough grasp of artificial intelligence through practical implementations in Julia. This trailblazing book covers classical AI algorithms and provides practical implementations of agile AI applications, highlighting Julia's versatility and high-performance capabilities for AI development.

This book takes a practical approach to ensure that readers translate theoretical concepts into tangible, real-world scenarios. Along the way, you will learn and implement neural networks, genetic algorithms, and neuroevolution from scratch. Author Dr. Alexandre Bergel uses practical examples, such as solutions to the traveling sales problem and a fun platform game (including a random level generator) to reinforce AI techniques. It also introduces Darwinian evolution principles, demonstrating how to evolve zoomorphic organisms to solve particular tasks, such as stair climbing or going over obstacles.

This book stands out as among the earliest to delve into Genertic Algorithms and Neuroevolutions in Julia, and it is one of the few available that offers a comprehensive implementation of Neuroevolution. It is equally as fun as it is informative, providing readers with source code to play along with and apply to future projects.

You Will: 

• Solve simple classification tasks using neural networks
• Use genetic algorithms to solve complex algorithmic problems
• Apply Darwinian evolution principles to evolve artificially living creatures
• Discover how to Neuroevolution to build an artificial player to solve a platform game

 

Dettagli dell'edizione

• Editore: APRESS L.P.
• Data di pubblicazione: 2026
• Lingua: Inglese
• ISBN 13: 9798868825941
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 297
• Contatto del produttore: non disponibile
• Persona responsabile: GPSR Kontakt; gpsr@libri.de; ; Europaallee 1; Bad Hersfeld; 36244; Germania