This book addresses the task of processing online handwritten notes acquired from an electronic whiteboard, which is a new modality in handwriting recognition research. The main motivation of this book is smart meeting rooms, aim to automate standard tasks usually performed by humans in a meeting.
The main objective of this series is to offer a practice-oriented survey of techniques
currently used in Medicinal Chemistry. Following the volumes on Hansch analysis
and related approaches (Vol. 1) and multivariate analyses (Vol. 2), the present handbook
focuses on some new, emerging techniques in drug discovery; emphasis is...
Evolutionary robotics is a new technique for the automatic creation of autonomous robots. Inspired by the Darwinian principle of selective reproduction of the fittest, it views robots as autonomous artificial organisms that develop their own skills in close interaction with the environment and without human intervention. Drawing heavily on...
This book introduce neurourology as an emerging interdisciplinary area that covers the basic and clinical studies of the neural control on the normal lower urinary tract and the lower/upper urinary tract dysfunction due to neuropathy disorders. It systematically describes all aspects of neurourology from the epidemiology of the...
WPF offers amazing new opportunities to .NET programmers in terms of the user interfaces they can deliver to their customers. But this significant technological advance comes with a steep learning curve, requiring the programmer to learn new classes, new syntax, and an entirely new approach to UI development.
Neural Networks for Pattern Recognition takes the pioneering work in artificial neural networks by Stephen Grossberg and his colleagues to a new level. In a simple and accessible way it extends embedding field theory into areas of machine intelligence that have not been clearly dealt with before. Following a tutorial of existing neural...
This handbook provides a comprehensive overview for students, clinicians and researchers planning to enter the field of neural regeneration, combining the latest knowledge with an understanding of all important model organisms in one handy volume. By covering the strengths and weaknesses as well as possible applications of different models it...
Prediction of behavior of the dynamical systems, analysis and modeling of its structure is vitally important problem in engineering, economy and science today.
Examples of such systems can be seen in the world around us and of course in almost every scientific discipline including such “exotic” domains like the...
The articles in this book present advanced soft methods related to genetic and evolutionary algorithms, immune systems, formulation of deterministic neural networks and Bayesian NN. Many attention is paid to hybrid systems for inverse analysis fusing soft methods and the finite element method. Numerical efficiency of these soft methods is...
Using the tools of complexity theory, Stephen Judd develops a formal description of associative learning in connectionist networks. He rigorously exposes the computational difficulties in training neural networks and explores how certain design principles will or will not make the problems easier.
