Results 51 to 60 of about 25,760 (169)
Regular Cycles of Forward and Backward Signal Propagation in Prefrontal Cortex and in Consciousness
Frontiers in Systems Neuroscience, 2016 This paper addresses two fundamental questions:(1) Is it possible to develop mathematical neural network models which can explain and replicate the way in which higher-order capabilities like intelligence, consciousness, optimization and prediction ...
Paul John Werbos +1 more
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High Voltage, 2021 This study presents a combined model based on the exploratory factor analysis (EFA) and the least square support vector machine (LSSVM) to predict the contamination degree of insulator surface. Firstly, EFA method is utilised to reduce numerous influence
Jiaxiang Sun +5 more
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Backdrop: Stochastic Backpropagation
CoRR, 2018 11 pages, 9 figures, 2 tables.
Siavash Golkar, Kyle Cranmer
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, 2023 This paper presents a concise mathematical framework for investigating both feed-forward and backward process, during the training to learn model weights, of an artificial neural network (ANN). Inspired from the idea of the two-step rule for backpropagation, we define a notion of F_adjoint which is aimed at a better description of the backpropagation ...
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Study on lightning risk assessment and early warning for UHV DC transmission channel
High Voltage, 2019 Operation data show lightning faults account for >70% for the main ultra-high voltage (UHV) DC transmission channels, very different from the design view.
Shanqiang Gu +6 more
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Tensile Strength Prediction of Empty Palm Oil Bunch Fiber Composite with Artificial Neural Network
JEMMME (Journal of Energy, Mechanical, Material, and Manufacturing Engineering)As the leading global producer of palm oil, Indonesia encounters substantial environmental challenges arising from the waste generated by empty palm oil fruit bunches (EPOFB).
Hery Tri Waloyo +2 more
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Desain Sistem Pendeteksi untuk Citra Base Sub-assembly dengan Algoritma Backpropagation
Jurnal Rekayasa Elektrika, 2017 Object identification technique using machine vision has been implemented in industrial of electronic manufacturers for years. This technique is commonly used for reject detection (for disqualified product based on existing standard) or defect detection.
Kasdianto Kasdianto, Siti Aisyah
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Unsupervised end-to-end training with a self-defined target
Neuromorphic Computing and EngineeringDesigning algorithms for versatile AI hardware that can learn on the edge using both labeled and unlabeled data is challenging. Deep end-to-end training methods incorporating phases of self-supervised and supervised learning are accurate and adaptable to
Dongshu Liu +4 more
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Backpropagation and Biological Plausibility
CoRR, 2018 By and large, Backpropagation (BP) is regarded as one of the most important neural computation algorithms at the basis of the progress in machine learning, including the recent advances in deep learning. However, its computational structure has been the source of many debates on its arguable biological plausibility. In this paper, it is shown that when
Alessandro Betti +2 more
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Backpropagation Through Agents
Proceedings of the AAAI Conference on Artificial IntelligenceA fundamental challenge in multi-agent reinforcement learning (MARL) is to learn the joint policy in an extremely large search space, which grows exponentially with the number of agents. Moreover, fully decentralized policy factorization significantly restricts the search space, which may lead to sub-optimal policies.
Zhiyuan Li +3 more
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