Название: Deep Neuro-Fuzzy Systems with Python: With Case Studies and Applications from the Industry
Автор: Himanshu Singh, Yunis Ahmad Lone
Издательство: Apress
Год: 2019
Страниц: 270
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB
Gain insight into fuzzy logic and neural networks, and how the integration between the two models makes intelligent systems in the current world. This book simplifies the implementation of fuzzy logic and neural network concepts using Python. You’ll start by walking through the basics of fuzzy sets and relations, and how each member of the set has its own membership function values. You’ll also look at different architectures and models that have been developed, and how rules and reasoning have been defined to make the architectures possible. The book then provides a closer look at neural networks and related architectures, focusing on the various issues neural networks may encounter during training, and how different optimization methods can help you resolve them.
