Introduction To Neural Networks Using Matlab 6.0: A Comprehensive Guide For Students And Professionals
Neural networks are computational models that mimic the structure and function of biological neurons. They can learn from data and perform tasks such as classification, regression, clustering, pattern recognition, and more. Neural networks have applications in various domains such as bioinformatics, robotics, communication, image processing, and healthcare.
One of the most popular tools for developing and implementing neural networks is MATLAB, a high-level programming language and environment that offers a rich set of features and functions for numerical computation, visualization, and programming. MATLAB also provides a specialized toolbox called Neural Network Toolbox that contains functions and GUIs for creating, training, validating, and testing different types of neural networks.
If you are interested in learning more about neural networks and how to use MATLAB and Neural Network Toolbox to create and deploy them, then this book is for you. Introduction To Neural Networks Using Matlab 6.0 is a book written by S N Sivanandam and S N Deepa that provides a comprehensive overview of the field of neural networks and their applications. The book covers the following topics:
Fundamental models of artificial neural networks, such as perceptrons, multilayer perceptrons, radial basis function networks, recurrent networks, self-organizing maps, and adaptive resonance theory.
Learning algorithms for training neural networks, such as gradient descent, backpropagation, conjugate gradient, Levenberg-Marquardt, genetic algorithms, particle swarm optimization, and simulated annealing.
Performance evaluation and optimization techniques for neural networks, such as cross-validation, regularization, pruning, feature selection, and ensemble methods.
Application examples of neural networks to areas like bioinformatics, robotics, communication, image processing, and healthcare.
The book also provides MATLAB code files for each chapter that can be downloaded from the book's website. The code files contain examples and exercises that illustrate the concepts and methods discussed in the book. The code files can be run on MATLAB 6.0 or later versions.
Introduction To Neural Networks Using Matlab 6.0 is a book that will help you gain a solid understanding of neural networks and their applications. Whether you are a student or a professional in computer science, engineering, or any other field that involves data analysis and modeling, this book will provide you with the knowledge and skills you need to create and use neural networks effectively.
To get your copy of Introduction To Neural Networks Using Matlab 6.0 , you can visit one of the following links:
Tata McGraw-Hill Education
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