Electronic Books

Aspects of Automatic Text Analysis

This book It collects contributions of authors from a multidisciplinary area who focus on the topic of automatic text analysis ...

Beginning Deep Learning with TensorFlow : Work with Keras, MNIST Data Sets, and Advanced Neural Networks / Liangqu Long, Xiangming Zeng

Stats with an introduction to AI, where you’ll learn the history of neural networks and what sets deep learning apart from ...

Big Data Science in Finance / Irene Aldridge, Marco Avellaneda

Explains the mathematics, theory, and methods of Big Data as applied to finance and investing Examines the mathematics, theory, ...

Bio-inspired Modeling of Cognitive Tasks

This volume includes all the contributions mainly related with theoretical, conceptual and methodological aspects linking ...

Bio-inspired Modeling of Cognitive Tasks

This volume includes all the contributions mainly related with theoretical, conceptual and methodological aspects linking ...

Biomimetic Neural Learning for Intelligent Robots

This book presents research performed as part of the EU project on biomimeticmultimodal learning in a mirror neuron-based ...

Brain Dynamics : An Introduction to Models and Simualtions

Brain Dynamics serves to introduce graduate students and nonspecialists from various backgrounds to the field of mathematical ...

Brain Repair

Brain Repair, addresses all relevant issues underlying the mechanisms of brain damage, brain plasticity and post-traumatic ...

Brain-Inspired Computing 4th International Workshop, BrainComp 2019, Cetraro, Italy, July 15–19, 2019, Revised Selected Papers

Challenges for Computational Intelligence

Computational Intelligence (CI) is used as a name to cover many existing branches of science, with artificial neural networks, ...

Chance Discoveries in Real World Decision Making

For this book, the editors invited and called for contributions from indispensable research areas relevant to "chance discovery," ...

Classification and Clustering for Knowledge Discovery

This book covers recent advances in unsupervised and supervised data analysis methods in Computational Intelligence for knowledge ...

Classification and Modeling with Linguistic Information Granules

Many approaches have already been proposed for classification and modeling in the literature. These approaches are usually ...

Complex Computing-Networks

This book uniquely combines new advances in the electromagnetic and the circuits&systems theory. It integrates both fields ...

Computational Analysis and Deep Learning for Medical Care: Principles, Methods, and Applications / Amit Kumar Tyagi

Focuses on the sophisticated methods for improving dye extraction and dyeing properties which will minimize the use of bioresource ...

Computational Intelligence for Engineering and Manufacturing

Unlike traditional computing, Computational Intelligence is tolerant of imprecise information, partial truth and uncertainty. ...

Computational Intelligence for Remote Sensing

This book is a composition of different points of view regarding the application of Computational Intelligence techniques ...

Computational Intelligence in Economics and Finance

Computational intelligence (CI), as an alternative to statistical and econometric approaches, has been applied to a wide ...

Computational Intelligence in Economics and Finance

Computational intelligence (CI), as an alternative to statistical and econometric approaches, has been applied to a wide ...

Computational Intelligence in Information Assurance and Security

The global economic infrastructure is becoming increasingly dependent upon information technology, with computer and communication ...