An intelligent system is one which exhibits characteristics including, but not limited to, learning, adaptation, and problem-solving. Artificial Neural Network (ANN) Systems are intelligent systems designed on the basis of statistical models of learning that mimic biological systems such as the human central nervous system. Such ANN systems represent the theme of this book. This book also describes concepts related to evolutionary methods, clustering algorithms, and others networks which are complementary to ANN system.
The book is divided into two parts. The first part explains basic concepts derived from the natural biological neuron and introduces purely scientific frameworks used to develop a viable ANN model. The second part expands over to the design, analysis, performance assessment, and testing of ANN models. Concepts such as Bayesian networks, multi-classifiers, and neuromorphic ANN systems are explained, among others.
Artificial Neural Systems: Principles and Practice takes a developmental perspective on the subject of ANN systems, making it a beneficial resource for students undertaking graduate courses and research projects, and working professionals (engineers, software developers) in the field of intelligent systems design.
Seguir leyendoexpand_more
Título : Artificial Neural Systems: Principle and Practice
EAN : 9781681080901
Editorial : Bentham Science Publishers.
Fecha de publicación
: 15/3/24
Formato : ePub
Tamaño del archivo : 9.43 mb
Protección : Aucune
El libro electrónico Artificial Neural Systems: Principle and Practice está en formato ePub
- check_circle
Este eBook es compatible para su lectura en la aplicación Vivlio de iOs y Android.
- check_circle
Este eBook es compatible para leer en My Vivlio.
- check_circle
Este eBook es compatible para su lectura en el lector Vivlio.
- check_circle
Este eBook es compatible para su lectura en un e-reader Vivlio.
¿Quieres leer en un eReader de otra marca? Sigue
nuestra guía.
Edición en Inglés
Conectarme
Mi cuenta