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Static and Dynamic Neural Networks: From Fundamentals to Advanced Theory
Static and Dynamic Neural Networks: From Fundamentals to Advanced Theory
With the evolution of our complex technological society and the introduction of new notions and innovative theoretical tools in the field of intelligent systems, the field of neural networks is undergoing an enormous evolution. These evolving and innovative theoretical tools are centered around the theory of soft computing, a theory that embodies...
Neurobiology of Neural Networks (Computational Neuroscience)
Neurobiology of Neural Networks (Computational Neuroscience)

This timely overview and synthesis of recent work in both artificial neural networks and neurobiology seeks to examine neurobiological data from a network perspective and to encourage neuroscientists to participate in constructing the next generation of neural networks. Individual chapters were commissioned from selected authors to bridge the...

Applied Deep Learning: A Case-Based Approach to Understanding Deep Neural Networks
Applied Deep Learning: A Case-Based Approach to Understanding Deep Neural Networks

Work with advanced topics in deep learning, such as optimization algorithms, hyper-parameter tuning, dropout, and error analysis as well as strategies to address typical problems encountered when training deep neural networks. You’ll begin by studying the activation functions mostly with a single neuron (ReLu, sigmoid, and...

Artificial Intelligence for Finance Executives: The AI revolution, from industry trends and case studies to algorithms and concepts
Artificial Intelligence for Finance Executives: The AI revolution, from industry trends and case studies to algorithms and concepts

We often hear that AI is revolutionising the financial sector, like no other technology has done before. This book looks beyond these clichés and explores all aspects of this transformation at a deep level. It spells out a vision for the future and answers many questions that are routinely ignored.

...

Fuzzy Expert Systems and Fuzzy Reasoning
Fuzzy Expert Systems and Fuzzy Reasoning
The most advanced systems that can emulate human thought

Fuzzy Expert Systems and Fuzzy Reasoning presents new, cutting-edge theories that enable programmers to emulate human thought processes to solve real-life problems. This text begins with an overview and comparison of current approaches, including rule-based and neural net systems that...

Artificial Intelligence: A New Synthesis (The Morgan Kaufmann Series in Artificial Intelligence)
Artificial Intelligence: A New Synthesis (The Morgan Kaufmann Series in Artificial Intelligence)

Intelligent agents are employed as the central characters in this new introductory text. Beginning with elementary reactive agents, Nilsson gradually increases their cognitive horsepower to illustrate the most important and lasting ideas in AI. Neural networks, genetic programming, computer vision, heuristic search, knowledge representation and...

Intrinsically Motivated Learning in Natural and Artificial Systems
Intrinsically Motivated Learning in Natural and Artificial Systems

It has become clear to researchers in robotics and adaptive behaviour that current approaches are yielding systems with limited autonomy and capacity for self-improvement. To learn autonomously and in a cumulative fashion is one of the hallmarks of intelligence, and we know that higher mammals engage in exploratory activities that are not...

Pitch: Neural Coding and Perception (Springer Handbook of Auditory Research)
Pitch: Neural Coding and Perception (Springer Handbook of Auditory Research)

Although pitch has been considered an important area of auditory research since the birth of modern acoustics in the 19th century, some of the most significant developments in our understanding of this phenomenon have occurred comparatively recently. In auditory physiology, researchers are now identifying cells in the brainstem and cortex...

Pathology and Genetics of Skin Tumours (IARC WHO Classification of Tumours)
Pathology and Genetics of Skin Tumours (IARC WHO Classification of Tumours)

This book provides an authoritative guide to the histological and genetic typing of human tumors of the skin. This volume covers keratinocytic, melanocytic, appendageal, haematopoietic, soft tissue and neural tumors, as well as inherited tumor syndromes. Each tumor is introduced with a concise definition and discussion of nomenclature,...

A Statistical Approach to Neural Networks for Pattern Recognition (Wiley Series in Computational Statistics)
A Statistical Approach to Neural Networks for Pattern Recognition (Wiley Series in Computational Statistics)
"The book provides an excellent introduction to neutral networks from a statistical perspective." (International Statistical Review, 2008)

"Successful connects logistic regression and linear discriminant analysis, thus making it critical reference and self-study guide for students and professionals alike in the...

Practical Artificial Intelligence: Machine Learning, Bots, and Agent Solutions Using C#
Practical Artificial Intelligence: Machine Learning, Bots, and Agent Solutions Using C#
Discover how all levels Artificial Intelligence (AI) can be present in the most unimaginable scenarios of ordinary lives. This book explores subjects such as neural networks, agents, multi agent systems, supervised learning, and unsupervised learning. These and other topics will be addressed with real world examples, so you can learn...
Localizing the Moral Sense: Neuroscience and the Search for the Cerebral Seat of Morality, 1800-1930
Localizing the Moral Sense: Neuroscience and the Search for the Cerebral Seat of Morality, 1800-1930

Due to the current revolution in brain research the search for the “moral brain” became a serious endeavour. Nowadays, neural circuits that are indispensable for moral and social behaviour are discovered and the brains of psychopaths and criminals - the classical anti-heroes of morality - are scanned with curiosity, even...

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