Neural Computing Books
1-20 of 20,000
Natural Language Processing and Machine Learning for Developers
Oswald Campesato
Natural Language Processing Fundamentals for Developers
Oswald Campesato
Grokking Machine Learning
Luis Serrano
It's time to dispel the myth that machine learning is difficult.
Artificial Intelligence Business : How You Can Profit from AI
Przemek Chojecki
Comprehensive Guide to Neural Network Modeling
Steffen Skaar
Artificial Neural Networks
Josiah Adeyemo
This book covers the applications of artificial neural networks (ann) in water resources.
Receptors in the Evolution and Development of the Brain
Richard E. Fine
Kinematic Control of Redundant Robot Arms Using Neural Networks
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 .
Synaptic Transmission
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.
Deep Learning for Natural Language Processing
Karthiek Reddy Bokka
How Smart Machines Think
Sean Gerrish
Everything you've always wanted to know about self-driving cars, netflix recommendations, ibm's watson, and video game-playing computer programs.
Synaptic Transmission
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.
Neural Networks for Natural Language Processing
Sumathi S
Information in today's advancing world is rapidly expanding and becoming widely available.
Deep Neural Networks
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.
Zeroing Dynamics, Gradient Dynamics, and Newton Iterations
Yunong Zhang
Neural networks and neural dynamics are powerful approaches for the online solution of mathematical problems arising in many areas of science, engineering, and business.
Fuzzy Neural Intelligent Systems
Hongxing Li
How smart machines think
Sean Gerrish
Everything you've always wanted to know about self-driving cars, netflix recommendations, ibm's watson, and video game-playing computer programs.
Fuzzy Neural Intelligent Systems
Hongxing Li
Mathematics of Generalization
David H. Wolpert
Handbook of Neural Network Signal Processing
Yu Hen Hu
The use of neural networks is permeating every area of signal processing.
How Smart Machines Think
Sean Gerrish
Everything you've always wanted to know about self-driving cars, netflix recommendations, ibm's watson, and video game-playing computer programs.
Advanced Deep Learning with Keras
Rowel Atienza
Nature-Inspired Networking
Phan Cong-Vinh
Nature-inspired includes, roughly speaking, bio-inspired+physical-inspired+social-inspired+ and so on.
Imitation of Life
Nancy Forbes
First Course in Fuzzy Logic
Hung T. Nguyen
Deep Learning with Pytorch Quick Start Guide
David Julian
Adaptive Sliding Mode Neural Network Control for Nonlinear Systems
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.
Nature-Inspired Networking
Phan Cong-Vinh
Nature-inspired includes, roughly speaking, bio-inspired+physical-inspired+social-inspired+ and so on.
Handbook of Neural Network Signal Processing
Yu Hen Hu
The use of neural networks is permeating every area of signal processing.
Network Functions and Plasticity
Jian Jing
Network functions and plasticity: perspectives from studying neuronal electrical coupling in microcircuits focuses on the specific roles of electrical coupling in tractable, well-defined circuits, highlighting current research that offers novel ins.
Neural Computing - an Introduction
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.
Convolutional Neural Networks in Visual Computing
Ragav Venkatesan
This book covers the fundamentals in designing and deploying techniques using deep architectures.
Shi zhan Google shen du xue xi ji shu
Zeyu Zheng
Space-Time Computing with Temporal Neural Networks
James E. Smith
Understanding and implementing the brain's computational paradigm is the one true grand challenge facing computer researchers.
Artificial Neural Network Applications for Software Reliability Prediction
Manjubala Bisi
Artificial neural network (ann) has proven to be a universal approximator for any non-linear continuous function with arbitrary accuracy.
Subspace Learning of Neural Networks
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.
Vulnerability of Watersheds to Climate Change Assessed by Neural Network and Analytical Hierarchy Process
Uttam Roy
The increase in ghg gases in the atmosphere due to expansions in industrial and vehicular concentration is attributed to warming of the climate world wide.
Neural Networks and Statistical Learning
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.
Visual Cortex and Deep Networks
Tomaso A. Poggio
Neuroplasticity
Moheb Costandi
Fifty years ago, neuroscientists thought that a mature brain was fixed like a fly in amber, unable to change.
Neuronal Network Dynamics in 2D and 3D in Vitro Neuroengineered Systems
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).
Neural Networks with Discontinuous/Impact Activations
Marat Akhmet
This book presents as its main subject new models in mathematical neuroscience.
Artificial Neural Networks
Petia Koprinkova-Hristova
This volume presents examples of how anns are applied in biological sciences and related areas.
Brain-Computer Interfaces
Aboul Ella Hassanien
Zhang Functions and Various Models
Yunong Zhang
Proceedings of the 1995 World Congress on Neural Networks
Joseph T. DeWitte
Centered around major topic areas of both theoretical and practical importance, the world congress on neural networks provides its registrants -- from a diverse background encompassing industry, academia, and government -- with the latest research and app.
Principles of Neural Information Processing
Werner V. Seelen
In this fundamental book the authors devise a framework that describes the working of the brain as a whole.
Neural Information Processing
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.
Intelligence Emerging
Keith L. Downing
Fuzzy Control in Environmental Engineering
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.
Deep belief nets in C++ and CUDA C
Timothy Masters
Trees of the Brain, Roots of the Mind
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.
Intelligent Systems II
George A. Anastassiou
Encyclopedia of Computational Neuroscience
Dieter Jaeger