The book serves as a beginner-friendly introduction to Artificial Neural Networks (ANNs), focusing on bridging the gap between theoretical mathematical models and practical software implementation. It is specifically tailored for students in their 7th or 8th semesters and researchers looking for detailed neural network implementation in the MATLAB environment. Key Topics Covered
Introduces feedback networks, Adaptive Resonance Theory (ART), and multi-layer networks.
A unique feature of this book is its deep integration with and the Neural Network Toolbox . This approach allows students to:
: Used to minimize the error between the actual and target output.