Results 21 to 30 of about 2,150,519 (283)
Energy-efficient control of pump units based on neural-network parameter observer [PDF]
, 2020 An observer based on an artificial neural network was designed. The observer determines the pumping unit performance depending on the operating point. Determination is based on the measured technological coordinates of the system and the pressure of the ...
Burian, S. O. +4 more
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Boosting Neural Networks [PDF]
Neural Computation, 2000 Boosting is a general method for improving the performance of learning algorithms. A recently proposed boosting algorithm, Ada Boost, has been applied with great success to several benchmark machine learning problems using mainly decision trees as base classifiers.
H, Schwenk, Y, Bengio
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A new adaptive neural network and heuristics hybrid approach for job-shop scheduling [PDF]
, 2001 Copyright @ 2001 Elsevier Science LtdA new adaptive neural network and heuristics hybrid approach for job-shop scheduling is presented. The neural network has the property of adapting its connection weights and biases of neural units while solving the ...
Baker +18 more
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Design of a Configurable Spike-Encoding Circuit Based on Focal Plane Array
Applied Sciences, 2023 Spiking neural networks inspired by biological models are gaining popularity in artificial intelligence due to their ability to solve diverse problems while reducing energy consumption.
Di Lu +4 more
doaj +1 more source
Material Identification During Turning by Neural Network
Journal of Machine Engineering, 2020 A design concept for high-performance components involves the combination of different materials in hybrid workpieces. Different material properties and chemical compositions influence the machining quality of hybrid workpieces.
Berend DENKENA +3 more
doaj +1 more source
Tellus: Series A, Dynamic Meteorology and Oceanography, 2023 Many factors are affecting the downstream development of baroclinic waves, among which zonal shear flow is one of the factors that need to be considered.
Jian Song, Yu Ying Yang
doaj +1 more source
Voltage stability analysis of load buses in electric power system using adaptive neuro-fuzzy inference system (anfis) and probabilistic neural network (pnn) [PDF]
, 2017 This paper presents the application of neural networks for analysing voltage stability of load buses in electric power system. Voltage stability margin (VSM) and load power margin (LPM) are used as the indicators for analysing voltage stability.
Ab Ghani, Ahmad Raqib +4 more
core +1 more source
Neural Plasticity, 2004 Functional and morphological studies in children affected by Attention Deficit Hyperactivity Disorder (ADHD) suggest a prefrontal cortex (PFc) dysfunction.
D. Viggiano +3 more
doaj +1 more source
The use of adversaries for optimal neural network training [PDF]
, 2018 B-decay data from the Belle experiment at the KEKB collider have a substantial background from $e^{+}e^{-}\to q \bar{q}$ events. To suppress this we employ deep neural network algorithms.
Hawthorne-Gonzalvez, Anton +1 more
core +2 more sources
Neural networks designing neural networks
Proceedings of the 35th International Conference on Computer-Aided Design, 2016 Artificial neural networks have gone through a recent rise in popularity, achieving state-of-the-art results in various fields, including image classification, speech recognition, and automated control. Both the performance and computational complexity of such models are heavily dependant on the design of characteristic hyper-parameters (e.g., number ...
Smithson, Sean C. +3 more
openaire +2 more sources