Diffuse Algorithms for Neural and Neuro Fuzzy Networks

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  • Publisher : Butterworth-Heinemann
  • Release : 10 February 2017
  • ISBN : 9780128126103
  • Page : 220 pages
  • Rating : 4.5/5 from 103 voters

Diffuse Algorithms for Neural and Neuro Fuzzy Networks Book PDF summary

Diffuse Algorithms for Neural and Neuro-Fuzzy Networks: With Applications in Control Engineering and Signal Processing presents new approaches to training neural and neuro-fuzzy networks. This book is divided into six chapters. Chapter 1 consists of plants models reviews, problems statements, and known results that are relevant to the subject matter of this book. Chapter 2 considers the RLS behavior on a finite interval. The theoretical results are illustrated by examples of solving problems of identification, control, and signal processing. Properties of the bias, the matrix of second-order moments and the normalized average squared error of the RLS algorithm on a finite time interval are studied in Chapter 3. Chapter 4 deals with the problem of multilayer neural and neuro-fuzzy networks training with simultaneous estimation of the hidden and output layers parameters. The theoretical results are illustrated with the examples of pattern recognition, identification of nonlinear static, and dynamic plants. Chapter 5 considers the estimation problem of the state and the parameters of the discrete dynamic plants in the absence of a priori statistical information about initial conditions or its incompletion. The Kalman filter and the extended Kalman filter diffuse analogues are obtained. Finally, Chapter 6 provides examples of the use of diffuse algorithms for solving problems in various engineering applications. This book is ideal for researchers and graduate students in control, signal processing, and machine learning. Presents a new approach to training which can be applied to solve the control, identification, signal processing, and classification problems arising in practice Offers an improvement from the existing learning techniques in control, robotics, and machine learning Provides examples of the use of diffuse algorithms for solving problems in various engineering applications

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Diffuse Algorithms for Neural and Neuro-Fuzzy Networks

Diffuse Algorithms for Neural and Neuro-Fuzzy Networks
  • Author : Boris.A Skorohod
  • Publisher : Butterworth-Heinemann
  • Release Date : 2017-02-10
  • ISBN : 9780128126103
DOWNLOAD BOOKDiffuse Algorithms for Neural and Neuro-Fuzzy Networks

Diffuse Algorithms for Neural and Neuro-Fuzzy Networks: With Applications in Control Engineering and Signal Processing presents new approaches to training neural and neuro-fuzzy networks. This book is divided into six chapters. Chapter 1 consists of plants models reviews, problems statements, and known results that are relevant to the subject matter of this book. Chapter 2 considers the RLS behavior on a finite interval. The theoretical results are illustrated by examples of solving problems of identification, control, and signal processing. Properties of the

Diffuse Algorithms for Neural Networks

Diffuse Algorithms for Neural Networks
  • Author : Ghanta BABU
  • Publisher : Unknown
  • Release Date : 2018-12
  • ISBN : 1792846037
DOWNLOAD BOOKDiffuse Algorithms for Neural Networks

The problem of neural and neuro-fuzzy networks training is considered in this book. The author's attention is concentrated on the approaches which are based on the use of a separable structure of plants models--nonlinear with respect to some unknown parameters and linear relating to the others. It may be, for example, a multilayered perceptron with a linear activation function at its output, a radial base neural network, a neuro-fuzzy Sugeno network, or a recurrent neural network, which are widely used

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DOWNLOAD BOOKAdvantages and Pitfalls of Pattern Recognition

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  • Publisher : Springer
  • Release Date : 2016-08-31
  • ISBN : 9789811018220
DOWNLOAD BOOKSignal Processing in Neuroscience

This book reviews cutting-edge developments in neural signalling processing (NSP), systematically introducing readers to various models and methods in the context of NSP. Neuronal Signal Processing is a comparatively new field in computer sciences and neuroscience, and is rapidly establishing itself as an important tool, one that offers an ideal opportunity to forge stronger links between experimentalists and computer scientists. This new signal-processing tool can be used in conjunction with existing computational tools to analyse neural activity, which is monitored

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DOWNLOAD BOOKHandbook of Neurophotonics

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  • Publisher : Frontiers Media SA
  • Release Date : 2018-02-01
  • ISBN : 9782889454013
DOWNLOAD BOOKArtificial Neural Networks as Models of Neural Information Processing

Modern neural networks gave rise to major breakthroughs in several research areas. In neuroscience, we are witnessing a reappraisal of neural network theory and its relevance for understanding information processing in biological systems. The research presented in this book provides various perspectives on the use of artificial neural networks as models of neural information processing. We consider the biological plausibility of neural networks, performance improvements, spiking neural networks and the use of neural networks for understanding brain function.

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DOWNLOAD BOOKYoumans and Winn Neurological Surgery

Widely regarded as the definitive reference in the field, Youmans and Winn Neurological Surgery offers unparalleled, multimedia coverage of the entirety of this complex specialty. Fully updated to reflect recent advances in the basic and clinical neurosciences, the 8th Edition covers everything you need to know about functional and restorative neurosurgery, deep brain stimulation, stem cell biology, radiological and nuclear imaging, and neuro-oncology, as well as minimally invasive surgeries in spine and peripheral nerve surgery, and endoscopic and other approaches

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  • Publisher : Greenwood Publishing Group
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  • ISBN : 9780275972196
DOWNLOAD BOOKThe Evolutionary Neuroethology of Paul MacLean

Cory, Gardner, and their contributors argue that how the brain is constructed determines how people behave socially. This has been a neglected thesis, except for a few pioneers, of whom Paul MacLean has been most outstanding. His animal observations, brain research, and evolutionary formulations have formed the basis of new important initiatives discussed in this collection.

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  • Publisher : William Andrew
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  • ISBN : 9780323480680
DOWNLOAD BOOKNeurophotonics and Biomedical Spectroscopy

Neurophotonics and Biomedical Spectroscopy addresses the novel state-of-the-art work in non-invasive optical spectroscopic methods that detect the onset and progression of diseases and other conditions, including pre-malignancy, cancer, Alzheimer’s disease, tissue and cell response to therapeutic intervention, unintended injury and laser energy deposition. The book then highlights research in neurophotonics that investigates single and multi-photon excitation optical signatures of normal/diseased nerve tissues and in the brain, providing a better understanding of the underlying biochemical and structural changes of

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  • Publisher : CRC Press
  • Release Date : 2017-11-22
  • ISBN : 9781351364522
DOWNLOAD BOOKFuzzy and Neuro-Fuzzy Systems in Medicine

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  • Publisher : Frontiers Media SA
  • Release Date : 2017-04-27
  • ISBN : 9782889450985
DOWNLOAD BOOKTraumatic Brain Injury as a Systems Neuroscience Problem

Traumatic brain injury (TBI) is traditionally viewed as an anatomic and neuropathological condition. Caring for TBI patients is a matter of defining the extent of an anatomical lesion, managing this lesion, and minimizing secondary brain injury. On the research side, the effects of TBI often are studied in the context of neuronal and axonal degeneration and the subsequent deposition of abnormal proteins such as tau. These approaches form the basis of our current understanding of TBI, but they pay less

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Clinical features (progressive psychomotor retardation, seizures, movement disorders and motor signs in both central and peripheral systems, sensorineural defects, and psychiatric symptoms) and brain imaging are the keys to diagnosis. CT is indicated for the detection of calcifications and blood, and for angiography. MRI in all three axes requires T1, T2, FLAIR (from 1 year on), eventually T2* or contrast administration, and diffusion in any acute condition. MR spectroscopy allows the dectection of lactate and creatine deficiency, elevated choline in high