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Author: Kant
Publisher: PHI Learning Pvt. Ltd.
ISBN: 8120339886
Category : Technology & Engineering
Languages : en
Pages : 626
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Book Description
Now in its second edition, this text presents the fundamentals of computer-based control of industrial processes. Intended primarily for undergraduate and postgraduate students of instrumentation and electronics engineering, the book will also be useful for professionals and researchers in these fields.
Author: Kant
Publisher: PHI Learning Pvt. Ltd.
ISBN: 8120339886
Category : Technology & Engineering
Languages : en
Pages : 626
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Book Description
Now in its second edition, this text presents the fundamentals of computer-based control of industrial processes. Intended primarily for undergraduate and postgraduate students of instrumentation and electronics engineering, the book will also be useful for professionals and researchers in these fields.
Author: Steve Schneider
Publisher: John Wiley & Sons
ISBN: 0471623733
Category : Computers
Languages : en
Pages : 530
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Book Description
The CSP approach has been widely used in the specification, analysis and verification of concurrent and real-time systems, and for understanding the particular issues that can arise when concurrency is present. It provides a language which enables specifications and designs to be clearly expressed and understood, together with a supporting theory which allows them to be analyzed and shown to be correct. This book supports advanced level courses on concurrency covering timed and untimed CSP. The first half introduces the language of CSP, the primary semantic models (traces, failures, divergences and infinite traces), and their use in the modelling, analysis and verification of concurrent systems. The second half of the book introduces time into the language, brings in the timed semantic model (timed failures) and finally presents the theory of timewise refinement which links the two halves together. Accompanying website: http://www.cs.rhbnc.ac.uk/books/concurrency Containing the following: -Exercises and solutions -Instructors resources - Example CSP programs to run on FDR and ProBe -Links to useful sites Partial Contents: Part I: The Language of CSP; Sequential Processes; Concurrency; Abstraction and Control Flow; Part II: Analyzing Processes; Traces; Specification and Verification with Traces; Stable Failures; Specification and Verification with Failures; Failures, Divergences, and Infinite Traces; Part III: Introducing Time; The Timed Language; Timed transition systems; Part IV: Timed Analysis; Semantics of Timed CSP; Timed Specification and Verification; Timewise Refinement; Appendix A: Event-based Time; A.1 Standard CSP and $tock$; A.2 Translating from Timed CSP; A.3 Notes; Appendix B: Model-checking with FDR; B.1 Interacting with FDR; B.2 How FDR Checks Refinement; B.3 Machine readable CSP; Index of Processes.
Author: Branko Souček
Publisher: Bentham Science Publishers
ISBN: 1608054942
Category : Computers
Languages : en
Pages : 220
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Book Description
Better Life and Business: Cell, Brain, Mind and Sex Universal Laws is an e-book that defines the fascinating new discipline: BRAINLIFEBIZ . BRAINLIFEBIZ combines new discoveries in neurobiology, behavior and medicine with novel concepts related to conscious software programming, automation, system adaptation, module selection , self -organization and automatic discovery. In other words, BRAINLIFEBIZ is a science of the consciousness, bio quantum / random chaos computations, self-organized event trains and processes with several conditions (continuous and discrete; without leadership and central control etc.). The goal of BRAINLIFEBIZ is to create a perfect computer model that simulates animal and human behavior in a computerized experimental setting. This volume presents simulations of the firefly, cricket, katydid, frog, bird and human prefrontal cortex. The book breaks across the lines that separate scientific disciplines. It explains the global nature of the specific intelligent systems outlined above. These intelligent systems features include learning, self- organization, fuzzy logic, high speed signal processing and process control. These features are employed to generate an intelligence map. The map presents figures and equations, curves and data for major ‘Elementary Processes’: aggression, mimicry, chaos, trains, pile up, attractions, courting, mating, emotion, reasoning and consciousness . ‘Elementary Processes’ are then simulated to interact with each other and form millions of complex processes explained by universal laws behind the cell, brain, mind, sex. These laws explain, in a new way, natural selection and reproductive success in the local and global society and business. These laws can be applied in a variety of situations - from everyday stress-free life, to intelligent business decision making, but with a solid biomedical and scientific foundation. The theory behind intelligent systems can be viewed as a complement to the genetic DNA code. The brain generates various brain event trains which allow it to store information in dispersed neural networks (biologically speaking, in 25 billions of neurons some of which with thousands of synapses dispersed over the cortex). The book explains the fast, precise and clear neural diagnostic process as well as the extremely flexible powerful leader mind. Better Life and Business: Cell, Brain, Mind and Sex Universal Laws is, therefore, a valuable reference for researchers to the fascinating world of natural and man -made intelligent systems and their applications in business situations and personal lives.
Author:
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 102
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Book Description
Author: Pierre Peretto
Publisher: Cambridge University Press
ISBN: 9780521424875
Category : Computers
Languages : en
Pages : 496
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Book Description
This book is a beginning graduate-level introduction to neural networks which is divided into four parts.
Author: L J Fogel
Publisher: World Scientific
ISBN: 9814550671
Category :
Languages : en
Pages : 386
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Book Description
The main topics covered at this conference include evolutionary programming, evolution strategies and genetic algorithms. Specific research articles investigate applications in control, image processing, neural networks, artificial life and theoretical properties of optimization algorithms based on inspirations from biology. This volume provides researchers and graduate students with an update of developments in the field.
Author: José Mira
Publisher: Springer Science & Business Media
ISBN: 9783540567981
Category : Computers
Languages : en
Pages : 772
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Book Description
Neural computation arises from the capacity of nervous tissue to process information and accumulate knowledge in an intelligent manner. Conventional computational machines have encountered enormous difficulties in duplicatingsuch functionalities. This has given rise to the development of Artificial Neural Networks where computation is distributed over a great number of local processing elements with a high degree of connectivityand in which external programming is replaced with supervised and unsupervised learning. The papers presented in this volume are carefully reviewed versions of the talks delivered at the International Workshop on Artificial Neural Networks (IWANN '93) organized by the Universities of Catalonia and the Spanish Open University at Madrid and held at Barcelona, Spain, in June 1993. The 111 papers are organized in seven sections: biological perspectives, mathematical models, learning, self-organizing networks, neural software, hardware implementation, and applications (in five subsections: signal processing and pattern recognition, communications, artificial vision, control and robotics, and other applications).
Author: Marina L. Gavrilova
Publisher: Springer Science & Business Media
ISBN: 3540340750
Category : Computational complexity
Languages : en
Pages : 1268
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Book Description
Author: A. H. Frigeri
Publisher: Pergamon
ISBN:
Category : Computers
Languages : en
Pages : 182
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Book Description
With its tradition of more than three decades, the IFAC/IFIP Workshop on Real Time Programming (WRTP) has become an excellent forum for exchanging information on recent technological advances and practices in real time computing, a field that is becoming an essential enabling discipline of both control engineering, and computer science and engineering. As there is an accelerated growth of demands for the functionality and dependability of real time systems, our intellectual and engineering abilities are being challenged to come up with practical solutions to the problems faced in the design and development of complex real time systems. The Workshop on Real Time Programming provides an opportunity to assess the state of the art, to present new results, and to discuss possible lines of future developments. Primarily, it focuses on software development for real time systems and real time operating systems. This 1998 Workshop covered the latest research and developments in real time communication and formal specification, operating systems and performance analysis, scheduling, use of neural networks in real time systems, embedded systems, and programming methodologies. Contributions came from Europe, North America, Australia, and the Far East. In addition to these high quality technical papers, the programme also featured three world-renowned keynote speakers.
Author: A. Ravishankar Rao
Publisher: Springer Science & Business Media
ISBN: 1461407249
Category : Medical
Languages : en
Pages : 234
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Book Description
A significant amount of effort in neural modeling is directed towards understanding the representation of information in various parts of the brain, such as cortical maps [6], and the paths along which sensory information is processed. Though the time domain is integral an integral aspect of the functioning of biological systems, it has proven very challenging to incorporate the time domain effectively in neural network models. A promising path that is being explored is to study the importance of synchronization in biological systems. Synchronization plays a critical role in the interactions between neurons in the brain, giving rise to perceptual phenomena, and explaining multiple effects such as visual contour integration, and the separation of superposed inputs. The purpose of this book is to provide a unified view of how the time domain can be effectively employed in neural network models. A first direction to consider is to deploy oscillators that model temporal firing patterns of a neuron or a group of neurons. There is a growing body of research on the use of oscillatory neural networks, and their ability to synchronize under the right conditions. Such networks of synchronizing elements have been shown to be effective in image processing and segmentation tasks, and also in solving the binding problem, which is of great significance in the field of neuroscience. The oscillatory neural models can be employed at multiple scales of abstraction, ranging from individual neurons, to groups of neurons using Wilson-Cowan modeling techniques and eventually to the behavior of entire brain regions as revealed in oscillations observed in EEG recordings. A second interesting direction to consider is to understand the effect of different neural network topologies on their ability to create the desired synchronization. A third direction of interest is the extraction of temporal signaling patterns from brain imaging data such as EEG and fMRI. Hence this Special Session is of emerging interest in the brain sciences, as imaging techniques are able to resolve sufficient temporal detail to provide an insight into how the time domain is deployed in cognitive function. The following broad topics will be covered in the book: Synchronization, phase-locking behavior, image processing, image segmentation, temporal pattern analysis, EEG analysis, fMRI analyis, network topology and synchronizability, cortical interactions involving synchronization, and oscillatory neural networks. This book will benefit readers interested in the topics of computational neuroscience, applying neural network models to understand brain function, extracting temporal information from brain imaging data, and emerging techniques for image segmentation using oscillatory networks
