Results 21 to 30 of about 16,797 (216)
Predictions models with neural nets
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2008 The contribution is oriented to basic problem trends solution of economic pointers, using neural networks. Problems include choice of the suitable model and consequently configuration of neural nets, choice computational function of neurons and the way ...
Vladimír Konečný
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Scientific Reports, 2022 Deep neural network (DNN) and Convolution neural network (CNN) algorithms have significantly increased the accuracies in cutting-edge large-scale image recognition and natural-language processing tasks.
Varun Bheemireddy
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TIME SERIES PREDICTION BY NEURAL NETS [PDF]
فصلنامه پژوهشهای اقتصادی ایران, 2002 Application of non-classical methods in modeling complex systems and forecasting their behavior has become as more as usual for the scientists and professionals.
Mohammad Reza Asgari Oskoei
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Neuroinformatics I: Fuzzy Neural Networks of More-Equal-Less Logic (Static)
Informatics in Education, 2004 This article analyzes the possibilities of neural nets composed of neurons - the summators of continuously varied impulse frequencies characterized by non-linearity {N}, when informational operations of fuzzy logic are performed.
Dobilas KIRVELIS, Girstaute DAGYTE
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Uncovering Neural Learning Dynamics Through Latent Mutual Information
EntropyWe study how convolutional neural networks reorganize information during learning in natural image classification tasks by tracking mutual information (MI) between inputs, intermediate representations, and labels. Across VGG-16, ResNet-18, and ResNet-50,
Arianna Issitt +4 more
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Characterizing Satellite Geometry via Accelerated 3D Gaussian Splatting
AerospaceThe accelerating deployment of spacecraft in orbit has generated interest in on-orbit servicing (OOS), inspection of spacecraft, and active debris removal (ADR).
Van Minh Nguyen +3 more
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IET Generation, Transmission & Distribution, 2023 Numerous studies on short‐term load forecasting (STLF) have used feature extraction methods to increase the model's accuracy by incorporating multidimensional features containing time, weather and distance information.
Shiyan Yi +4 more
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Empirical Approaches to the Application of Mathematical Techniques in Health Technologies [PDF]
International Journal Bioautomation, 2013 Mathematical modeling of ageing is built in this paper around research and development activities in cooperation with pharmaceutical companies and hospitals.
Anthony Shannon, Hung Nguyen
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Novel multi‐domain attention for abstractive summarisation
CAAI Transactions on Intelligence Technology, 2023 The existing abstractive text summarisation models only consider the word sequence correlations between the source document and the reference summary, and the summary generated by models lacks the cover of the subject of source document due to models ...
Chunxia Qu +4 more
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Brain inspired neuronal silencing mechanism to enable reliable sequence identification
Scientific Reports, 2022 Real-time sequence identification is a core use-case of artificial neural networks (ANNs), ranging from recognizing temporal events to identifying verification codes.
Shiri Hodassman +7 more
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