Free Neural Networks ebooks. Categorized directory of free Neural Networks books. Read online or download free ebooks in different formats.
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Of the Evolution of the Brain by Allessandro Treves, Yasser Roudi
 
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Author
Allessandro Treves, Yasser Roudi
Publisher
SISSA 2010
We review the common themes, the network models and the mathematical formalism underlying our recent studies about different stages in the evolution of the human brain. These studies all discuss the evolution of cortical networks in terms of their computations, quantified by simulating simplified formal models.
An Introduction to Neural Networks by Ben Krose, Patrick van der Smagt
 
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Author
Ben Krose, Patrick van der Smagt
Publisher
1996
This manuscript attempts to provide the reader with an insight in artificial neural networks. The choice of describing robotics and vision as neural network applications coincides with the neural network research interests of the authors.
An Introduction to Neural Networks by Ben Krose, Patrick van der Smagt
 
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Author
Ben Krose, Patrick van der Smagt
Publisher
1996
This manuscript attempts to provide the reader with an insight in artificial neural networks. The choice of describing robotics and vision as neural network applications coincides with the neural network research interests of the authors.
Artificial Neural Networks: Methodological Advances and Biomedical Applications by Kenji Suzuki
 
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The purpose of this book is to provide recent advances of artificial neural networks in biomedical applications. The target audience includes professors and students in engineering and medical schools.
Neural Networks by Rolf Pfeifer, Dana Damian, Rudolf Fuchslin
 
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Author
Rolf Pfeifer, Dana Damian, Rudolf Fuchslin
Publisher
University of Zurich 2010
Systematic introduction to neural networks, biological foundations; important network classes and learning algorithms; supervised models (perceptrons, adalines, multi-layer perceptrons), support-vector machines, echo-state networks,
Neural Fuzzy Systems by Robert Fuller
 
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Author
Robert Fuller
Publisher
Abo Akademi University 1995
This text covers inference mechanisms in fuzzy expert systems, learning rules of feedforward multi-layer supervised neural networks, Kohonen's unsupervised learning algorithm for classification of input patterns, and the basic principles of fuzzy neural hybrid systems.
Artificial Neural Networks: Architectures and Applications by Kenji Suzuki (ed.)
 
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Author
Kenji Suzuki (ed.)
Publisher
InTech 2013
Artificial neural networks may probably be the single most successful technology in the last two decades which has been widely used in a large variety of applications. The purpose of this book is to provide recent advances of architectures, methodologies, and applications of artificial neural networks.
Artificial Neural Networks
 
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Artificial neural networks are a computational tool, based on the properties of biological neural systems. Neural networks excel in a number of problem areas where conventional von Neumann computer systems have traditionally been slow and inefficient. This book is going to discuss the creation and use of artificial neural...
An Introduction to Computational Neuroscience by Todd Troyer
 
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Author
Todd Troyer
Publisher
University of Texas at San Antonio 2005
These notes have three main objectives: (i) to present the major concepts in the field of computational neuroscience, (ii) to present the basic mathematics that underlies these concepts, and (iii) to give the reader some idea of common approaches taken by computational neuroscientists when combining (i) and (ii). ...
 
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Author
William Bialek
Publisher
arXiv 2002
We all are fascinated by the phenomena of intelligent behavior, as generated both by our own brains and by the brains of other animals. As physicists we would like to understand if there are some general principles that govern the structure and dynamics of the neural circuits that underlie...
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