Books in Neural networks

Neural Networks in Bioprocessing and Chemical Engineering

1st Edition
June 28, 2014
D. R. Baughman + 1 more
English
eBook
9 7 8 1 4 8 3 2 9 5 6 5 7

Neural networks have received a great deal of attention among scientists and engineers. In chemical engineering, neural computing has moved from pioneering projects toward mainstream industrial applications. This book introduces the fundamental principles of neural computing, and is the first to focus on its practical applications in bioprocessing and chemical engineering. Examples, problems, and 10 detailed case studies demonstrate how to develop, train, and apply neural networks. A disk containing input data files for all illustrative examples, case studies, and practice problems provides the opportunity for hands-on experience. An important goal of the book is to help the student or practitioner learn and implement neural networks quickly and inexpensively using commercially available, PC-based software tools. Detailed network specifications and training procedures are included for all neural network examples discussed in the book.

Advanced Neural Computers

1st Edition
June 28, 2014
R. Eckmiller
English
eBook
9 7 8 1 4 8 3 2 9 4 2 7 8

This book is the outcome of the International Symposium on Neural Networks for Sensory and Motor Systems (NSMS) held in March 1990 in the FRG. The NSMS symposium assembled 45 invited experts from Europe, America and Japan representing the fields of Neuroinformatics, Computer Science, Computational Neuroscience, and Neuroscience.As a rapidly-published report on the state of the art in Neural Computing it forms a reference book for future research in this highly interdisciplinary field and should prove useful in the endeavor to transfer concepts of brain function and structure to novel neural computers with adaptive, dynamical neural net topologies.A feature of the book is the completeness of the references provided. An alphabetical list of all references quoted in the papers is given, as well as a separate list of general references to help newcomers to the field. A subject index and author index also facilitate access to various details.

Artificial Neural Networks and Statistical Pattern Recognition

1st Edition
Volume 11
June 28, 2014
I.K. Sethi + 1 more
English
eBook
9 7 8 1 4 8 3 2 9 7 8 7 3

With the growing complexity of pattern recognition related problems being solved using Artificial Neural Networks, many ANN researchers are grappling with design issues such as the size of the network, the number of training patterns, and performance assessment and bounds. These researchers are continually rediscovering that many learning procedures lack the scaling property; the procedures simply fail, or yield unsatisfactory results when applied to problems of bigger size. Phenomena like these are very familiar to researchers in statistical pattern recognition (SPR), where the curse of dimensionality is a well-known dilemma. Issues related to the training and test sample sizes, feature space dimensionality, and the discriminatory power of different classifier types have all been extensively studied in the SPR literature. It appears however that many ANN researchers looking at pattern recognition problems are not aware of the ties between their field and SPR, and are therefore unable to successfully exploit work that has already been done in SPR. Similarly, many pattern recognition and computer vision researchers do not realize the potential of the ANN approach to solve problems such as feature extraction, segmentation, and object recognition. The present volume is designed as a contribution to the greater interaction between the ANN and SPR research communities.

Artificial Neural Networks

1st Edition
June 28, 2014
K. Mäkisara + 3 more
English
eBook
9 7 8 1 4 8 3 2 9 8 0 0 9

This two-volume proceedings compiles a selection of research papers presented at the ICANN-91. The scope of the volumes is interdisciplinary, ranging from mathematics and engineering to cognitive sciences and biology. European research is well represented. Volume 1 contains all the orally presented papers, including both invited talks and submitted papers. Volume 2 contains the plenary talks and the poster presentations.

Neural Networks

1st Edition
June 28, 2014
E. Gelenbe
English
eBook
9 7 8 1 4 8 3 2 9 7 0 9 5

The present volume is a natural follow-up to Neural Networks: Advances and Applications which appeared one year previously. As the title indicates, it combines the presentation of recent methodological results concerning computational models and results inspired by neural networks, and of well-documented applications which illustrate the use of such models in the solution of difficult problems. The volume is balanced with respect to these two orientations: it contains six papers concerning methodological developments and five papers concerning applications and examples illustrating the theoretical developments. Each paper is largely self-contained and includes a complete bibliography.The methodological part of the book contains two papers on learning, one paper which presents a computational model of intracortical inhibitory effects, a paper presenting a new development of the random neural network, and two papers on associative memory models. The applications and examples portion contains papers on image compression, associative recall of simple typed images, learning applied to typed images, stereo disparity detection, and combinatorial optimisation.

Artificial Neural Networks, 2

1st Edition
June 28, 2014
I. Aleksander + 1 more
English
eBook
9 7 8 1 4 8 3 2 9 8 0 6 1

This two-volume proceedings compilation is a selection of research papers presented at the ICANN-92. The scope of the volumes is interdisciplinary, ranging from the minutiae of VLSI hardware, to new discoveries in neurobiology, through to the workings of the human mind. USA and European research is well represented, including not only new thoughts from old masters but also a large number of first-time authors who are ensuring the continued development of the field.

Adaptive Intelligent Systems

1st Edition
June 28, 2014
Society for Worldwide Society for Worldwide Interban
English
eBook
9 7 8 1 4 8 3 2 9 8 1 5 3

Dedicated to the consideration of advanced I.T. technologies and their financial applications, this volume contains contributions from an international group of system developers and managers from academia, the financial industry and their suppliers: all actively involved in the development and practical introduction of these technologies into banking and financial organisations.Concen... on real experience and present needs, rather than theoretical possibilities or limited prototype applications, it is hoped the publication will give a better insight into advanced I.T. practice and potential as it currently exists and motivate today's developers and researchers.In addition to the discussion of a wide range of technologies and approaches to ensure adaptivity, three other major topics are explored in the book: neural networks, classical software engineering techniques and rule-based systems.

Single Neuron Computation

1st Edition
May 19, 2014
Thomas M. McKenna + 2 more
English
eBook
9 7 8 1 4 8 3 2 9 6 0 6 7

This book contains twenty-two original contributions that provide a comprehensive overview of computational approaches to understanding a single neuron structure. The focus on cellular-level processes is twofold. From a computational neuroscience perspective, a thorough understanding of the information processing performed by single neurons leads to an understanding of circuit- and systems-level activity. From the standpoint of artificial neural networks (ANNs), a single real neuron is as complex an operational unit as an entire ANN, and formalizing the complex computations performed by real neurons is essential to the design of enhanced processor elements for use in the next generation of ANNs.The book covers computation in dendrites and spines, computational aspects of ion channels, synapses, patterned discharge and multistate neurons, and stochastic models of neuron dynamics. It is the most up-to-date presentation of biophysical and computational methods.

Neurobionics

1st Edition
October 22, 2013
H.-W. Bothe + 2 more
English
eBook
9 7 8 1 4 8 3 2 9 1 5 6 7

The goal of neurobionics is to elaborate methods for the repairment and substitution of impaired functions of the human nervous system. This publication contains contributions from internationally recognized scientists exploring the structure of this novel interdisciplinary research field. The structure consists of theoretical sciences (philosophy, mathematics, neuroinformatics, computational neuroscience), basic biological sciences (molecular biology, cell biology, biological network neuroscience, neurophysiology), technical engineering (microelectronics, micromechanics, robotics, microsystems), and clinical neurosciences (neurodiagnostics, neurology, neurosurgery, neurorehabilitation)... It is hoped the book indicates that a new kind of partnership across these various disciplines is mandatory if emerging problems in the field are to be solved. It also aims to set the coordinates for an international and interdisciplinary research field dealing with a subject intrinsic to man's mind and its biological carrier which may be partially replaced by artificial means in the future.

Neural Networks and Genome Informatics

1st Edition
Volume 1
December 2, 2012
C.H. Wu + 1 more
English
eBook
9 7 8 0 0 8 0 5 3 7 3 7 5

This book is a comprehensive reference in the field of neural networks and genome informatics. The tutorial of neural network foundations introduces basic neural network technology and terminology. This is followed by an in-depth discussion of special system designs for building neural networks for genome informatics, and broad reviews and evaluations of current state-of-the-art methods in the field. This book concludes with a description of open research problems and future research directions.

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