Results 41 to 50 of about 122,388 (186)
Accurate speed prediction is a crucial component of intelligent transportation systems, as it enhances traffic management and operational efficiency. While the majority of existing research concentrates on speed prediction under normal traffic conditions,
Zihao Wei, Ke Zhang, Shen Li, Meng Li
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Forecasting price increments using an artificial Neural Network
Financial forecasting is a difficult task due to the intrinsic complexity of the financial system. In the present paper we relate our experience using neural nets as financial time series forecast method.
Castiglione, Filippo
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Design of a multivariable neural controller for control of a nonlinear MIMO plant
The paper presents the training problem of a set of neural nets to obtain a (gain-scheduling, adaptive) multivariable neural controller for control of a nonlinear MIMO dynamic process represented by a mathematical model of Low-Frequency (LF) motions of a
Bańka Stanisław +2 more
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Real‐time vehicle detection using segmentation‐based detection network and trajectory prediction
The position of vehicles is determined using an algorithm that includes two stages of detection and prediction. The more the number of frames in which the detection network is used, the more accurate the detector is, and the more the prediction network ...
Nafiseh Zarei +2 more
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Deep convolutional neural networks (DCNNs) have been widely applied in various modern artificial intelligence (AI) applications. DCNN's inference is a process with high calculation costs, which usually requires billions of multiply‐accumulate operations.
Xianghong Hu +5 more
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Application of artificial neural networks to the recognition of musical sounds
The aim of the presented work was to train a neural network in order to recognize a class of a chosen musical instrument. As problems related to analysis of sounds are related to human subjective perception abilities, then it seems that such tools of ...
B. KOSTEK, R. KRÓLIKOWSKI
doaj
Applications of artificial neural nets in structural mechanics [PDF]
A brief introduction to the fundamental of Neural Nets is given, followed by two applications in structural optimization. In the first case, the feasibility of simulating with neural nets the many structural analyses performed during optimization ...
Berke, Laszlo, Hajela, Prabhat
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DIANA, a program for Feynman Diagram Evaluation [PDF]
A C-program DIANA (DIagram ANAlyser) for the automatic Feynman diagram evaluation is presented.Comment: LaTeX, 5 pages, no figures; talk given at 6th International Workshop on Software Engineering, Artificial Intelligence, Neural Nets, Genetic ...
Fleischer, J., Tentyukov, M.
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Using fuzzy logic to integrate neural networks and knowledge-based systems [PDF]
Outlined here is a novel hybrid architecture that uses fuzzy logic to integrate neural networks and knowledge-based systems. The author's approach offers important synergistic benefits to neural nets, approximate reasoning, and symbolic processing. Fuzzy
Yen, John
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The Massively Parallel Processor (MPP) is an ideal machine for computer experiments with simulated neural nets as well as more general cellular automata. Experiments using the MPP with a formal model neural network are described.
Hastings, Harold M., Waner, Stefan
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