Advanced Methods and Applications for Neurointelligence PDF Download
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Author: Manning Wang
Publisher: Frontiers Media SA
ISBN: 2832549861
Category : Science
Languages : en
Pages : 169
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Book Description
Neurointelligence techniques play a key role in building general artificial intelligence systems. Some researchers and engineers have tried to design novel bio-inspired algorithms and hardware by mimicking the working principles of biological nervous systems. Benefiting from the progress in representational learning, neuroscience, and computational hardware, bio-inspired research has greatly contributed to the development of neurointelligence. Currently, advanced bio-inspired methods have been widely applied in robotics, visual scene understanding, medical image analysis, human-machine interaction and so on. Moreover, neurointelligence covers interdisciplinary topics with neuroscience, robotics, artificial intelligence, cognitive science, machine learning, and pattern recognition. This research topic is intended to provide a better understanding of the opportunities, challenges, and promising future directions for neurointelligence.
Author: Manning Wang
Publisher: Frontiers Media SA
ISBN: 2832549861
Category : Science
Languages : en
Pages : 169
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Book Description
Neurointelligence techniques play a key role in building general artificial intelligence systems. Some researchers and engineers have tried to design novel bio-inspired algorithms and hardware by mimicking the working principles of biological nervous systems. Benefiting from the progress in representational learning, neuroscience, and computational hardware, bio-inspired research has greatly contributed to the development of neurointelligence. Currently, advanced bio-inspired methods have been widely applied in robotics, visual scene understanding, medical image analysis, human-machine interaction and so on. Moreover, neurointelligence covers interdisciplinary topics with neuroscience, robotics, artificial intelligence, cognitive science, machine learning, and pattern recognition. This research topic is intended to provide a better understanding of the opportunities, challenges, and promising future directions for neurointelligence.
Author: Jia Liu
Publisher: Frontiers Media SA
ISBN: 2889713407
Category : Science
Languages : en
Pages : 172
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Book Description
Author: Dinesh C.S. Bisht
Publisher: CRC Press
ISBN: 1000433846
Category : Mathematics
Languages : en
Pages : 183
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Book Description
Future predictions are always a topic of interest. Precise estimates are crucial in many activities as forecasting errors can lead to big financial loss. The sequential analysis of data and information gathered from past to present is call time series analysis. This book covers the recent advancements in time series forecasting. The book includes theoretical as well as recent applications of time series analysis. It focuses on the recent techniques used, discusses a combination of methodology and applications, presents traditional and advanced tools, new applications, and identifies the gaps in knowledge in engineering applications. This book is aimed at scientists, researchers, postgraduate students and engineers in the areas of supply chain management, production, inventory planning, and statistical quality control.
Author: Daniel S. Yeung
Publisher: Springer Science & Business Media
ISBN: 3642025323
Category : Computers
Languages : en
Pages : 89
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Book Description
Artificial neural networks are used to model systems that receive inputs and produce outputs. The relationships between the inputs and outputs and the representation parameters are critical issues in the design of related engineering systems, and sensitivity analysis concerns methods for analyzing these relationships. Perturbations of neural networks are caused by machine imprecision, and they can be simulated by embedding disturbances in the original inputs or connection weights, allowing us to study the characteristics of a function under small perturbations of its parameters. This is the first book to present a systematic description of sensitivity analysis methods for artificial neural networks. It covers sensitivity analysis of multilayer perceptron neural networks and radial basis function neural networks, two widely used models in the machine learning field. The authors examine the applications of such analysis in tasks such as feature selection, sample reduction, and network optimization. The book will be useful for engineers applying neural network sensitivity analysis to solve practical problems, and for researchers interested in foundational problems in neural networks.
Author: Richard J. Haier
Publisher: Cambridge University Press
ISBN: 1009295047
Category : Psychology
Languages : en
Pages : 317
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Book Description
This new edition provides an accessible guide to advances in neuroscience research and what they reveal about intelligence. Compelling evidence shows that genetics plays a major role as intelligence develops from childhood, and that intelligence test scores correspond strongly to specific features of the brain assessed with neuroimaging. In detailed yet understandable language, Richard J. Haier explains cutting-edge techniques based on DNA and imaging of brain connectivity and function. He dispels common misconceptions – such as the belief that IQ tests are biased or meaningless. Readers will learn about the real possibility of dramatically enhancing intelligence and the positive implications this could have for education and social policy. The text also explores potential controversies surrounding neuro-poverty, neuro-socioeconomic status, and the morality of enhancing intelligence for everyone.
Author: Alejandro F. Frangi
Publisher: Springer
ISBN: 3030009378
Category : Computers
Languages : en
Pages : 785
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Book Description
The four-volume set LNCS 11070, 11071, 11072, and 11073 constitutes the refereed proceedings of the 21st International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2018, held in Granada, Spain, in September 2018. The 373 revised full papers presented were carefully reviewed and selected from 1068 submissions in a double-blind review process. The papers have been organized in the following topical sections: Part I: Image Quality and Artefacts; Image Reconstruction Methods; Machine Learning in Medical Imaging; Statistical Analysis for Medical Imaging; Image Registration Methods. Part II: Optical and Histology Applications: Optical Imaging Applications; Histology Applications; Microscopy Applications; Optical Coherence Tomography and Other Optical Imaging Applications. Cardiac, Chest and Abdominal Applications: Cardiac Imaging Applications: Colorectal, Kidney and Liver Imaging Applications; Lung Imaging Applications; Breast Imaging Applications; Other Abdominal Applications. Part III: Diffusion Tensor Imaging and Functional MRI: Diffusion Tensor Imaging; Diffusion Weighted Imaging; Functional MRI; Human Connectome. Neuroimaging and Brain Segmentation Methods: Neuroimaging; Brain Segmentation Methods. Part IV: Computer Assisted Intervention: Image Guided Interventions and Surgery; Surgical Planning, Simulation and Work Flow Analysis; Visualization and Augmented Reality. Image Segmentation Methods: General Image Segmentation Methods, Measures and Applications; Multi-Organ Segmentation; Abdominal Segmentation Methods; Cardiac Segmentation Methods; Chest, Lung and Spine Segmentation; Other Segmentation Applications.
Author: Shih-Chii Liu
Publisher: John Wiley & Sons
ISBN: 0470018496
Category : Technology & Engineering
Languages : en
Pages : 440
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Book Description
Neuromorphic electronic engineering takes its inspiration from the functioning of nervous systems to build more power efficient electronic sensors and processors. Event-based neuromorphic systems are inspired by the brain's efficient data-driven communication design, which is key to its quick responses and remarkable capabilities. This cross-disciplinary text establishes how circuit building blocks are combined in architectures to construct complete systems. These include vision and auditory sensors as well as neuronal processing and learning circuits that implement models of nervous systems. Techniques for building multi-chip scalable systems are considered throughout the book, including methods for dealing with transistor mismatch, extensive discussions of communication and interfacing, and making systems that operate in the real world. The book also provides historical context that helps relate the architectures and circuits to each other and that guides readers to the extensive literature. Chapters are written by founding experts and have been extensively edited for overall coherence. This pioneering text is an indispensable resource for practicing neuromorphic electronic engineers, advanced electrical engineering and computer science students and researchers interested in neuromorphic systems. Key features: Summarises the latest design approaches, applications, and future challenges in the field of neuromorphic engineering. Presents examples of practical applications of neuromorphic design principles. Covers address-event communication, retinas, cochleas, locomotion, learning theory, neurons, synapses, floating gate circuits, hardware and software infrastructure, algorithms, and future challenges.
Author: Norihisa Miki
Publisher: MDPI
ISBN: 3038977284
Category : Science
Languages : en
Pages : 154
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Book Description
This Special Issue presents selected papers from the 8th Symposium on Micro–Nano Science and Technology on Micromachines, 31 October–2 November, 2017, in Hiroshima, Japan. We encouraged contributions of significant and original works in order to deeply understand physical, chemical, and biological phenomena at the micro/nano scale and to develop applied technologies. The conference covered the following main topics: 1: Precision machinery lubrication design 2: Material dynamics strength 3: Hydrodynamics 4: Thermal engineering 5: Production processing mechanical materials 6: Robotics mechatronics 7: Medical biotechnology 8: Micro/nano system The papers that attracted the most interest at the conference, or that provided novel contributions, were selected for publication in Micromachines. These papers were peer-reviewed for validation of the research results, developments and applications.
Author: Jeff Hawkins
Publisher: Macmillan
ISBN: 1429900458
Category : Computers
Languages : en
Pages : 276
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Book Description
The inventor of the PalmPilot shares a compelling new theory of intelligence, brain function, and the future of artificial intelligence. Tech innovator Jeff Hawkins reshaped our relationship to computers with devices like the PalmPilot. Now he stands ready to revolutionize both neuroscience and computing in one stroke, with a new understanding of intelligence itself. In this book, Hawkins develops a powerful theory of human cognition and explains how, based on his theory, we can finally build intelligent machines. According to Hawkins, the brain is a complex system that remembers sequences of events and their nested relationships. This style of organization reflects the true structure of the world and allows us to make increasingly accurate predictions. This memory-prediction process in turn forms the basis of intelligence, perception, creativity, and even consciousness. In an engaging style accessible to the general reader, Hawkins shows how a clear understanding of brain function can be applied to building intelligent machines, in silicon, that will exceed our human ability in surprising ways. Written with acclaimed science writer Sandra Blakeslee, On Intelligence is a landmark book in its scope and clarity. “Brilliant and imbued with startling clarity . . . the most important book in neuroscience, psychology, and artificial intelligence in a generation.” —Malcolm Young, University of Newcastle
Author: Adel El-Shahat
Publisher: BoD – Books on Demand
ISBN: 9535137808
Category : Computers
Languages : en
Pages : 298
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Book Description
In this book, highly qualified multidisciplinary scientists grasp their recent researches motivated by the importance of artificial neural networks. It addresses advanced applications and innovative case studies for the next-generation optical networks based on modulation recognition using artificial neural networks, hardware ANN for gait generation of multi-legged robots, production of high-resolution soil property ANN maps, ANN and dynamic factor models to combine forecasts, ANN parameter recognition of engineering constants in Civil Engineering, ANN electricity consumption and generation forecasting, ANN for advanced process control, ANN breast cancer detection, ANN applications in biofuels, ANN modeling for manufacturing process optimization, spectral interference correction using a large-size spectrometer and ANN-based deep learning, solar radiation ANN prediction using NARX model, and ANN data assimilation for an atmospheric general circulation model.
