Koha online

Normal view MARC view ISBD view

Hands-On Genetic Algorithms with Python: Applying genetic algorithms to solve real-world deep learning and artificial intelligence problems

By: Wirsansky, Eyal.
Publisher: Birmingham : Packt Publishing, 2020Description: vii, 331 p. ; ill 24 cm.ISBN: 9781838557744 .Subject(s): Genetic algorithms | Computer science | Computer program language | Python | Computer simulation | Machine theory | Discrete mathematics | Artificial immune systems(AIS) | Blend crossover | Combinatorial optimization | Crossover methods | DEAP framework | Eggholder function | undamental theorem of generic algorithms | Hyperparameters | Image processing | Knapsack problem | MountainCar environment | N-Queens problem | OneMax problem | Particle swarm optimization(PSO) | Roulette wheel selection | Selection methods | Tree structures | Vehicle routing problemDDC classification: 005.1 Summary: Using this book, you will gain expertise in genetic algorithms, understand how they work and know when and how to use them to create intelligent Python-based applications. By the end of this book, you will have hands-on experience applying genetic algorithms to artificial intelligence as well as numerous other domains
Tags from this library: No tags from this library for this title. Log in to add tags.
Item type Current location Call number Status Date due Barcode
Books 005.1 WIR (Browse shelf) Available 033428

Includes bibliographical references and index.

Using this book, you will gain expertise in genetic algorithms, understand how they work and know when and how to use them to create intelligent Python-based applications. By the end of this book, you will have hands-on experience applying genetic algorithms to artificial intelligence as well as numerous other domains

There are no comments for this item.

Log in to your account to post a comment.

Powered by Koha