Advanced Methods And Applications For Neurointelligence
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Author | : Manning Wang |
Publisher | : Frontiers Media SA |
Total Pages | : 169 |
Release | : 2024-05-31 |
Genre | : Science |
ISBN | : 2832549861 |
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 |
Total Pages | : 172 |
Release | : 2021-09-23 |
Genre | : Science |
ISBN | : 2889713407 |
Author | : Adel El-Shahat |
Publisher | : BoD – Books on Demand |
Total Pages | : 298 |
Release | : 2018-02-28 |
Genre | : Computers |
ISBN | : 9535137808 |
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.
Author | : Daniel S. Yeung |
Publisher | : Springer Science & Business Media |
Total Pages | : 89 |
Release | : 2009-11-09 |
Genre | : Computers |
ISBN | : 3642025323 |
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 | : Guoqi Li |
Publisher | : Frontiers Media SA |
Total Pages | : 234 |
Release | : 2020-06-05 |
Genre | : |
ISBN | : 2889637670 |
Author | : Lei Deng |
Publisher | : Frontiers Media SA |
Total Pages | : 200 |
Release | : 2021-05-05 |
Genre | : Science |
ISBN | : 2889667421 |
Author | : Shih-Chii Liu |
Publisher | : John Wiley & Sons |
Total Pages | : 440 |
Release | : 2015-02-16 |
Genre | : Technology & Engineering |
ISBN | : 0470018496 |
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 | : Shih-Chii Liu |
Publisher | : Frontiers Media SA |
Total Pages | : 200 |
Release | : 2019-12-05 |
Genre | : |
ISBN | : 2889632326 |
Neurophysiology and biology provide useful starting points to help us understand and build better audio processing systems. The papers in this special issue address hardware implementations, spiking networks, sound identification, and attention decoding.
Author | : Janusz Kacprzyk |
Publisher | : Springer Nature |
Total Pages | : 1298 |
Release | : 2022-02-10 |
Genre | : Technology & Engineering |
ISBN | : 3030906396 |
This book publishes the best papers accepted and presented at the 3rd edition of the International Conference on Advanced Intelligent Systems for Sustainable Development Applied to Agriculture, Energy, Health, Environment, Industry, Education, Economy, and Security (AI2SD’2020). This conference is one of the biggest amalgamations of eminent researchers, students, and delegates from both academia and industry where the collaborators have an interactive access to emerging technology and approaches globally. In this book, readers find the latest ideas addressing technological issues relevant to all areas of the social and human sciences for sustainable development. Due to the nature of the conference with its focus on innovative ideas and developments, the book provides the ideal scientific and brings together very high-quality chapters written by eminent researchers from different disciplines, to discover the most recent developments in scientific research.
Author | : Norihisa Miki |
Publisher | : MDPI |
Total Pages | : 154 |
Release | : 2019-04-09 |
Genre | : Science |
ISBN | : 3038977284 |
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.