Laboratório de Computação Natural e Aprendizagem de Máquina



Introdução a Mineração de Dados: Conceitos Básicos, Algoritmos e Aplicações

Author: Leandro Nunes de Castro & Daniel Gomes Ferrari, Saraiva, 2016.​​​​​​​

Fundamentals of Natural Computing: Basic Concepts, Algorithms, and Applications

Author: Leandro Nunes de Castro

This book presents theoretical and philosophical discussions, pseudocodes for algorithms, and computing paradigms that illustrate how computational techniques can be used to solve complex problems, simulate nature, explain natural phenomena, and possibly allow the development of new computing technologies. The author features a consistent and approachable, textbook-style format that includes lucid figures, tables, real-world examples, and different types of exercises that complement the concepts while encouraging readers to apply the computational tools in each chapter. Building progressively upon core concepts of nature-inspired techniques, the topics include evolutionary computing, neurocomputing, swarm intelligence, immunocomputing, fractal geometry, artificial life, quantum computing, and DNA computing.

Computacao Natural: Uma Jornada Ilustrada

Author: Leandro Nunes de Castro

This book lectures on natural computing using an intermediate language between technical-scientific and popular, a journey designed to undergraduates and graduate of the exact sciences and biotechnology among others. The writing is light and illustrated, facilitating the understanding of what is and what it does to Natural Computing.

Artificial Immune Systems: A New Computational Intelligence Approach

Author: Leandro Nunes de Castro

This book provides an accessible introduction that will be suitable for anyone who is beginning to study or work in this area. It gives a clear definition of an AIS, sets out the foundations of the topic (including basic algorithms), and analyses how the immune system relates to other biological systems and processes. No prior knowledge of immunology is needed - all the essential background information is covered in the introductory chapters. Key features of the book include: - A discussion of AIS in the context of Computational Intelligence; - Case studies in Autonomous Navigation, Computer Network Security, Job-Shop Scheduling and Data Analysis, An extensive survey of applications; - A framework to help the reader design and understand AIS; - A web site with additional resources including pseudocodes for immune algorithms, and links to related sites. Written primarily for final year undergraduate and postgraduate students studying Artificial Intelligence, Evolutionary and Biologically Inspired Computing, this book will also be of interest to industrial and academic researchers working in related areas.