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Artificial neural networks (ANNs) present many benefits in analyzing complex data in a proficient manner. As an effective and efficient problem-solving method, ANNs are incredibly useful in many different fields. From education to medicine and banking to engineering, artificial neural networks are a growing phenomenon as more realize the plethora of uses and benefits they provide. Due to their complexity, it is vital for researchers to understand ANN capabilities in various fields. The Research Anthology on Artificial Neural Network Applications covers critical topics related to artificial neural networks and their multitude of applications in a number of diverse areas including medicine, finance, operations research, business, social media, security, and more. Covering everything from the applications and uses of artificial neural networks to deep learning and non-linear problems, this book is ideal for computer scientists, IT specialists, data scientists, technologists, business owners, engineers, government agencies, researchers, academicians, and students, as well as anyone who is interested in learning more about how artificial neural networks can be used across a wide range of fields.
This is a digital product.
Additional ISBNs
1668424088, 1668424096, 9781668424087, 9781668424094
Research Anthology on Artificial Neural Network Applications and published by Engineering Science Reference. The Digital and eTextbook ISBNs for Research Anthology on Artificial Neural Network Applications are 9781668424100, 166842410X and the print ISBNs are 9781668424087, 1668424088. Additional ISBNs for this eTextbook include 1668424088, 1668424096, 9781668424087, 9781668424094.
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