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.
