Neural Network Driven Artificial Intelligence : Decision Making Based on Fuzzy Logic

With today's growing information and the overloading of its volume, it is becoming tremendously difficult to analyze the huge amounts of data that contain the information and which makes it very strenuous and inconvenient to introduce an appropriate methodology of decision making fast enough to the point that it can be considered as real time. The demand for real time processing information and related data - both structured and unstructured - is on the rise and consequently makes it harder and harder to implement correct decision making at the enterprise level to keep the organization robust and resilient against either manmade threats or natural disasters.

This book is written as a means of introduction for both artificial and biological neural networks to disparate readers and audiences, comprising engineers and biologists as well as CEOs in charge of retail establishments, banking and manufacturing with huge production lines and business professionals as well as others. It acts as more than a simple introduction; this book makes an excellent compendium and builds an essential foundation for those who have strong interests to peruse the field of neural networking drive/ artificial intelligence and robotic systems of the future from the autonomy perspective.

Artificial Neural Networks (ANNs) are the wave of the future, beginning anywhere from being capable of doing everything from translating financial data into financial predictions, to mapping visual images to robotic commands, to classifying medical images for diagnostic tests and so on. This is why a book like this is essential reading for computer programmers, hardware and software engineers and specialists, managers, biologists, and other professionals who want to stay in the vanguard of their fields.