Steffen P. Russak
Steffen Bo Jensen
Steffen Bo Jensen
Steffen Hven
Winter Steffen
Steffen Nijhuis
Steffen Fleßa
Steffen Pötzschke
Steffen Reichel
Steffen Fleßa
Steffen Bo Jensen
Steffen P. Russak
Michael T Steffen
Steffen Moritz
Steffen P. J. Janicke
Steffen Mau
Steffen Lehmann
Heimo Steffen
Steffen P. Russak
Steffen Beckenbauer
Steffen Bangsow
Steffen Lehmann
How can we transform and future-proof the post-industrial city through strategies of architectural and urban design?
Steffen Beckenbauer
Holger Steffen
Steffen Pappert
Steffen Pappert
Steffen Boßhammer
Die ankunft tausender ostgoten im nachr�mischen italien stellte den hochrangigen minister cassiodor vor die herausforderung, in einer religi�s und ethnisch heterogenen gesellschaft ein friedliches zusammenleben der bev�lkerungsgruppen zu organisieren.
Steffen Zabler
Steffen G. Scholz
Steffen Fischer
Steffen P. Graether
Steffen Fischer
Steffen Höhne
Steffen Kailitz
Steffen W. Schmidt
Steffen Roth
Steffen P. Russak
Steffen Frank
Steffen Loick Molina
Steffen Pluntke
Ann M. Steffen
Steffen Klävers
Charles G. Steffen
Steffen Hillebrecht
In diesem lehrbuch w�hlt steffen hillebrecht einen innovativen und sehr anwendungsfokussierten ansatz zur betrachtung der personalwirtschaft.
Lloyd Steffen
Steffen Weichert
Steffen Beckenbauer
Steffen Pappert
Steffen Beckenbauer
Steffen Lehmann
How can we transform and future-proof the post-industrial city through strategies of architectural and urban design?
Steffen Haakon Schrader
Steffen G. Scholz
Steffen Reizner
Antje Steffen
Steffen Beckenbauer
Oswald Campesato
Oswald Campesato
Luis Serrano
It's time to dispel the myth that machine learning is difficult.
Shuai Li
Presents pioneering and comprehensive work on engaging movement in robotic arms, with a specific focus on neural networksthis book presents and investigates different methods and schemes for the control of robotic arms whilst exploring .
Stephen Meriney
Synaptic transmission is a comprehensive guide to the topic of neurotransmission that provides an in-depth discussion on many aspects of synapse structure and function--a fundamental part of the neuroscience discipline.
Karthiek Reddy Bokka
Sean Gerrish
Everything you've always wanted to know about self-driving cars, netflix recommendations, ibm's watson, and video game-playing computer programs.
Stephen D. Meriney
Synaptic transmission is a comprehensive guide to the topic of neurotransmission that provides an in-depth discussion on many aspects of synapse structure and function--a fundamental part of the neuroscience discipline.
Sumathi S
Information in today's advancing world is rapidly expanding and becoming widely available.
Yunong Zhang
toward deep neural networks: wasd neuronet models, algorithms, and applications introduces the outlook and extension toward deep neural networks, with a focus on the weights-and-structure determination (wasd) algorithm.
Hongxing Li
David H. Wolpert
Yu Hen Hu
The use of neural networks is permeating every area of signal processing.
Sean Gerrish
Everything you've always wanted to know about self-driving cars, netflix recommendations, ibm's watson, and video game-playing computer programs.
Rowel Atienza
Phan Cong-Vinh
Nature-inspired includes, roughly speaking, bio-inspired+physical-inspired+social-inspired+ and so on.
Nancy Forbes
Hung T. Nguyen
David Julian
Yang Li
Adaptive sliding mode neural network control for nonlinear systems introduces nonlinear systems basic knowledge, analysis and control methods, and applications in various fields.
Phan Cong-Vinh
Nature-inspired includes, roughly speaking, bio-inspired+physical-inspired+social-inspired+ and so on.
Yu Hen Hu
The use of neural networks is permeating every area of signal processing.
R. Beale
Neural computing is one of the most interesting and rapidly growing areas of research, attracting researchers from a wide variety of scientific disciplines.
Ragav Venkatesan
This book covers the fundamentals in designing and deploying techniques using deep architectures.
Zeyu Zheng
James E. Smith
Understanding and implementing the brain's computational paradigm is the one true grand challenge facing computer researchers.
Manjubala Bisi
Artificial neural network (ann) has proven to be a universal approximator for any non-linear continuous function with arbitrary accuracy.
Jian Cheng Lv
Using real-life examples to illustrate the performance of learning algorithms and instructing readers how to apply them to practical applications, this work offers a comprehensive treatment of subspace learning algorithms for neural networks.
K. -L Du
Providing a broad but in-depth introduction to neural network and machine learning in a statistical framework, this book provides a single, comprehensive resource for study and further research.
Tomaso A. Poggio
Moheb Costandi
Fifty years ago, neuroscientists thought that a mature brain was fixed like a fly in amber, unable to change.
Monica Frega
The book presents a new, powerful model of neuronal networks, consisting of a three-dimensional neuronal culture in which 3d neuronal networks are coupled to micro-electrode-arrays (meas).
Marat Akhmet
This book presents as its main subject new models in mathematical neuroscience.
Sabri Arik
The four volume set lncs 9489, lncs 9490, lncs 9491, and lncs 9492 constitutes the proceedings of the 22nd international conference on neural information processing, iconip 2015, held in istanbul, turkey, in november 2015.
Keith L. Downing
Wojciech Z. Chmielowski
This book is intended for engineers, technicians and people who plan to use fuzzy control in more or less developed and advanced control systems for manufacturing processes, or directly for executive equipment.
Timothy Masters
Giorgio A. Ascoli
An examination of the stunning beauty of the brain's cellular form, with many color illustrations, and a provocative claim about the mind-brain relationship.
George A. Anastassiou
Dieter Jaeger
Jonathan Grainger
This volume addresses the relatively underexplored methodology of localist (as opposed to distributed) connectionist modeling of cognitive processes.
Antonios K. Alexandridis
Through extensive examples and case studies, "wavelet neural networks" provides a step-by-step introduction to modeling, training, and forecasting using wavelet networks.
Karl H. Pribram
The result of the first appalachian conference on neurodynamics, this volume focuses on processing in biological neural networks.
E. R. Caianiello
This book provides the first accessible introduction to neural network analysis as a methodological strategy for social scientists.
Adam C. Errington
Gaba is the principal inhibitory neurotransmitter in the cns and acts via gabaa and gabab receptors.
Shih-Chii Liu
Neuromorphic electronic engineering takes its inspiration from the functioning of nervous systems to build more power efficient electronic sensors and processors.
Vladimir Golovko
Javier Segovia
Junfei Qiao
Saeid Sanei
Daniel Graupe
Artificial neural networks are most suitable for solving problems that are complex, ill-defined, highly nonlinear, of many and different variables, and/or stochastic.
Sam J. Enna
Daniel S. Levine
The second published collection based on a conference sponsored by the metroplex institute for neural dynamics -- the first is "motivation, emotion, and goal direction in neural networks" (lea, 1992) -- this book addresses the controversy between symbolic.
Leszek Rutkowski