Computational Intelligence

Alexandru Floares (Editor)
Artificial Intelligence Department, Cancer Institute Cluj-Napoca, Cluj-Napoca, Romania

Series: Computer Science, Technology and Applications
BISAC: COM000000

Clear

$150.00

Volume 10

Issue 1

Volume 2

Volume 3

Special issue: Resilience in breaking the cycle of children’s environmental health disparities
Edited by I Leslie Rubin, Robert J Geller, Abby Mutic, Benjamin A Gitterman, Nathan Mutic, Wayne Garfinkel, Claire D Coles, Kurt Martinuzzi, and Joav Merrick

eBook

Digitally watermarked, DRM-free.
Immediate eBook download after purchase.

Product price
Additional options total:
Order total:

Quantity:

Details

Computational intelligence aims to emulate aspects of biological systems for developing software and/or hardware that learns and adapts. Such systems primarily include neural networks, fuzzy logic systems and evolutionary computation each of them including multiple active and fast growing research directions. This book presents new and ground-breaking research from world-renowned experts focusing on various topics related to computational intelligence. What makes this book particularly interesting is the variety of subjects attained, which offer a global perspective on this central research field in the Knowledge Age. (Imprint: Nova)

Preface

Chapter 1: Semi-supervised Learning
(Zenglin Xu. Purdue University, Mingzhen Mo, The Chinese University of Hong Kong and Irwin King, The Chinese University of Hong Kong)

Chapter 2: Local Tangent Space Laplacian Eigenmaps
(Guoqiang Zhong, Kaizhu Huang, Xinwen Hou and Shiming Xiang, Institute of Automation, Chinese Academy of Sciences)

Chapter 3: Multi-Step Model of Switching Reinforcement Learning to Mimic Infants` Motor Development
(Masato Nagayoshi, Niigata College of Nursing, Japan, Hajime Murao and Hisashi Tamaki, Kobe University, Japan)

Chapter 4: Reverse Engineering Networks as Ordinary Differential Equations Systems
(Alexandru Floares, SAIA & OncoPredict & Cancer Institute Cluj-Napoca, Cluj-Napoca, Romania; Adriana Birlutiu (SAIA & OncoPredict, Cluj-Napoca, Romania)

Chapter 5: The Relevance of Bayesian Experimental Design for Modeling in Systems Biology
(Johanna Mazur and Lars Kaderali, University of Heidelberg, Germany)

Chapter 6: Topographic Maps for clustering and fast identification of bacteria using 16S housekeeping gene
(Massimo La Rosa, Riccardo Rizzo, Alfonso Urso and Salvatore Gaglio, University of Palermo, Italy)

Chapter 7: Cognitive Modelling of Language Acquisition with Complex Networks
(Emil Gegov, Brunel University; Alexander Gegov, University of Portsmouth; Fernand Gobet and Mark Atherton, Brunel University, Daniel Freudenthal and Julian Pine, University of Liverpool)

Chapter 8: Process Mining and Visual Analytics: Breathing Life into Business Process Models
(Wil M.P. van der Aalst and Massimiliano de Leoni, Eindhoven University of Technology, The Netherlands; Arthur H.M. ter Hofstede, Queensland University of Technology, Australia)

Chapter 9: A Statistical Mechanics Definition of Insight
(Kevin B. Clark)

Chapter 10: Manufacturing Morality. A general theory of moral agency grounding computational implementations: the ACTWith model
(Jeffrey White, KAIST, South Korea)

Index

You have not viewed any product yet.