Neurological Control Systems, Lawrence Stark

Автор: A. Popp
Название: A Guide to the Primary Care of Neurological Disorders
ISBN: 3131351225 ISBN-13(EAN): 9783131351227
Издательство: Thieme Verlagsgruppe
Рейтинг:
Цена: 44030.00 T
Наличие на складе: Нет в наличии.
Описание: Synthesizing the expert clinical advice of specialists who treat disorders of the nervous system, this book is an accessible, single-volume resource for primary care physicians requiring practical information on a range of neurological disorders. A Guide to the Primary Care of Neurological Disorders provides readers with a firm foundation in neuroscience concepts that will enable them to make timely diagnostic, treatment, and referral decisions about common symptoms, including chronic pain, headache, seizures, numbness, and dizziness. Additional chapters cover specific categories of neurological disease, providing the reader with concise descriptions of the clinical manifestations, examination techniques, and treatment options for each. Features:--An outline at the start of each chapter aids rapid location of topics of interest--Thorough coverage of history-taking and the physical examination--Pearls and Pitfalls at the end of each chapter review fundamental concepts and provide helpful guideposts for managing each clinical situationPacked with essential information on clinical neurosciences, this comprehensive book is ideal for primary care physicians, nurse practitioners, physicians assistants, residents in primary care specialties, and medical students.

Автор: Raphael Pinaud; Liisa A. Tremere
Название: Immediate Early Genes in Sensory Processing, Cognitive Performance and Neurological Disorders
ISBN: 1489987436 ISBN-13(EAN): 9781489987433
Издательство: Springer
Рейтинг:
Цена: 148010.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a compilation of the most up-to-date literature on the topic of immediate early genes (IEGs). It reviews and details experiments and theories that challenge the reader to expand their view on how IEG research is currently being used to advance our understanding of static and active brain circuits.

Автор: Alan A. Boulton; Glen B. Baker; Roger F. Butterwor
Название: Animal Models of Neurological Disease, I
ISBN: 0896032086 ISBN-13(EAN): 9780896032088
Издательство: Springer
Рейтинг:
Цена: 172350.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The use of animal models continues to be the most reliable way of studying pathophysiologic mechanisms as well as treatments for neurological disorders. These two companion volumes highlight new information and techniques available in this rapidly growing area.

Автор: John David Parkes; Peter George Jenner; David Nige
Название: Neurological Disorders
ISBN: 3540170138 ISBN-13(EAN): 9783540170136
Издательство: Springer
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Цена: 81050.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Neurological Disorders is the latest and fifth monograph in the series on management and treatment in major clinical specialties or patient groups. The first four volumes dealt respectively with gastrointestinal diseases, rheumatic diseases, treatment in the elderly and car diovascular disease.

Автор: Norgaard M., Ravn O., Poulsen N.K., Hansen L.K.
Название: Neural Networks for Modelling and Control of Dynamic Systems / A Practitioner`s Handbook
ISBN: 1852332271 ISBN-13(EAN): 9781852332273
Издательство: Springer
Рейтинг:
Цена: 74530.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The technology of neural networks has attracted much attention in recent years. Their ability to learn nonlinear relationships is widely appreciated and is utilized in many different types of applications; modelling of dynamic systems, signal processing, and control system design being some of the most common. The theory of neural computing has matured considerably over the last decade and many problems of neural network design, training and evaluation have been resolved. This book provides a comprehensive introduction to the most popular class of neural network, the multilayer perceptron, and shows how it can be used for system identification and control. It aims to provide the reader with a sufficient theoretical background to understand the characteristics of different methods, to be aware of the pit-falls and to make proper decisions in all situations. The subjects treated include: System identification: multilayer perceptrons; how to conduct informative experiments; model structure selection; training methods; model validation; pruning algorithms. Control: direct inverse, internal model, feedforward, optimal and predictive control; feedback linearization and instantaneous-linearization-based controllers. Case studies: prediction of sunspot activity; modelling of a hydraulic actuator; control of a pneumatic servomechanism; water-level control in a conical tank. The book is very application-oriented and gives detailed and pragmatic recommendations that guide the user through the plethora of methods suggested in the literature. Furthermore, it attempts to introduce sound working procedures that can lead to efficient neural network solutions. This will make the book invaluable to the practitioner and as a textbook in courses with a significant hands-on component.