Neural Smithing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Neural Smithing write by Russell Reed. This book was released on 1999-02-17. Neural Smithing available in PDF, EPUB and Kindle. Artificial neural networks are nonlinear mapping systems whose structure is loosely based on principles observed in the nervous systems of humans and animals. The basic idea is that massive systems of simple units linked together in appropriate ways can generate many complex and interesting behaviors. This book focuses on the subset of feedforward artificial neural networks called multilayer perceptrons (MLP). These are the mostly widely used neural networks, with applications as diverse as finance (forecasting), manufacturing (process control), and science (speech and image recognition). This book presents an extensive and practical overview of almost every aspect of MLP methodology, progressing from an initial discussion of what MLPs are and how they might be used to an in-depth examination of technical factors affecting performance. The book can be used as a tool kit by readers interested in applying networks to specific problems, yet it also presents theory and references outlining the last ten years of MLP research.
The NEURON Book
The NEURON Book - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook The NEURON Book write by Nicholas T. Carnevale. This book was released on 2006-01-12. The NEURON Book available in PDF, EPUB and Kindle. The authoritative reference on NEURON, the simulation environment for modeling biological neurons and neural networks that enjoys wide use in the experimental and computational neuroscience communities. This book shows how to use NEURON to construct and apply empirically based models. Written primarily for neuroscience investigators, teachers, and students, it assumes no previous knowledge of computer programming or numerical methods. Readers with a background in the physical sciences or mathematics, who have some knowledge about brain cells and circuits and are interested in computational modeling, will also find it helpful. The NEURON Book covers material that ranges from the inner workings of this program, to practical considerations involved in specifying the anatomical and biophysical properties that are to be represented in models. It uses a problem-solving approach, with many working examples that readers can try for themselves.
Pattern Recognition by Self-organizing Neural Networks
Pattern Recognition by Self-organizing Neural Networks - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Pattern Recognition by Self-organizing Neural Networks write by Gail A. Carpenter. This book was released on 1991. Pattern Recognition by Self-organizing Neural Networks available in PDF, EPUB and Kindle. Pattern Recognition by Self-Organizing Neural Networks presentsthe most recent advances in an area of research that is becoming vitally important in the fields ofcognitive science, neuroscience, artificial intelligence, and neural networks in general. The 19articles take up developments in competitive learning and computational maps, adaptive resonancetheory, and specialized architectures and biological connections. Introductorysurvey articles provide a framework for understanding the many models involved in various approachesto studying neural networks. These are followed in Part 2 by articles that form the foundation formodels of competitive learning and computational mapping, and recent articles by Kohonen, applyingthem to problems in speech recognition, and by Hecht-Nielsen, applying them to problems in designingadaptive lookup tables. Articles in Part 3 focus on adaptive resonance theory (ART) networks,selforganizing pattern recognition systems whose top-down template feedback signals guarantee theirstable learning in response to arbitrary sequences of input patterns. In Part 4, articles describeembedding ART modules into larger architectures and provide experimental evidence fromneurophysiology, event-related potentials, and psychology that support the prediction that ARTmechanisms exist in the brain. Contributors: J.-P. Banquet, G.A. Carpenter, S.Grossberg, R. Hecht-Nielsen, T. Kohonen, B. Kosko, T.W. Ryan, N.A. Schmajuk, W. Singer, D. Stork, C.von der Malsburg, C.L. Winter.
Neuronal Dynamics
Neuronal Dynamics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Neuronal Dynamics write by Wulfram Gerstner. This book was released on 2014-07-24. Neuronal Dynamics available in PDF, EPUB and Kindle. This solid introduction uses the principles of physics and the tools of mathematics to approach fundamental questions of neuroscience.
Neural Network Learning and Expert Systems
Neural Network Learning and Expert Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Neural Network Learning and Expert Systems write by Stephen I. Gallant. This book was released on 1993. Neural Network Learning and Expert Systems available in PDF, EPUB and Kindle. presents a unified and in-depth development of neural network learning algorithms and neural network expert systems
