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...multiple models (typically [[Neural network (machine learning)|artificial neural networks]]) and combining them to produce a desired output, as opposed to c .... "Optimal ensemble averaging of neural networks." Network: Computation in Neural Systems 8, no. 3 (1997): 283&ndash;296.</ref> ...

The '''Shannon criteria''' constitute an empirical rule in [[neural engineering]] that is used for evaluation of possibility of damage from [[electrical st ...nnon categorizes the relationship between stimulating electrode and target neural tissue as either Near Field, Mid Field, or Far Field, and discusses how equ ...

{{short description|Technique for training recurrent neural networks}} ...aining certain types of [[recurrent neural network]]s, such as [[Recurrent neural network#Elman networks and Jordan networks|Elman networks]]. The algorithm ...

...abstract) [[Algebra (ring theory)|algebra]], a set of [[Signal (electrical engineering)|signal]]s is treated as a [[Module (mathematics)|module]] or [[vector spac ...s simply a real-valued function on the set of nodes of the graph. In graph neural networks, graph signals are sometimes called features. The signal space is ...

...ence Division, 2002.</ref><ref name="SKF-Haykin-book">Kalman Filtering and Neural Networks. Edited by [[Simon Haykin]]. {{ISBN|0-471-22154-6}}</ref> but rela ...activity using a switching Kalman filter. IEEE Transactions on Biomedical Engineering 51(6): 933-942. {{doi|10.1109/TBME.2004.826666}}</ref> and sensorimotor lea ...

| thesis_title = Neural routing circuits for forming invariant representations of visual objects ...eley School of Optometry]], with an affiliated appointment in [[Electrical Engineering and Computer Sciences]]. He is also the Director of the [[Redwood Center fo ...

...aushik |last6=Stuart |first6=Andrew |last7=Anandkumar |first7=Anima |title=Neural operator: Learning maps between function spaces |journal=Journal of Machine ...=David A. |last4=Coenen |first4=Frans |last5=Ma |first5=Fei |title=Fourier Neural Operator for Fluid Flow in Small-Shape 2D Simulated Porous Media Dataset |j ...

In various science/engineering applications, such as [[independent component analysis]],<ref>Dinh-Tuan Pha ...d entropy estimators for spherically invariant multidimensional data, In ''Neural Computation'', vol. 22, issue 8, April 2010, pp. 2208–2227.</ref> ...

{{Short description|THE LOTTERY TICKET HYPOTHESIS: FINDING SPARSE, TRAINABLE NEURAL NETWORKS}} ...1=Jonathan |title=The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks |date=2019-03-04 |eprint=1803.03635 |last2=Carbin |first2=Michael| ...

{{Short description|Phenomenon observed in the study of Artificial Neural Networks}} ...networks|deep neural networks (DNNs)]]. It describes the tendency of deep neural networks to fit target functions from low to high frequencies during the tr ...

...were developed by [[Erdal Arıkan|Erdal Arikan]], a professor of electrical engineering at [[Bilkent University]]. == Neural Polar Decoders == ...

...|last=Marmarelis |first=P.Z. |journal=Sensory Systems Annals of Biomedical Engineering |volume=19 |issue=4 |pages=345&ndash;382 |year=1991|doi=10.1007/BF02584316 ...z |first=M |author2=Schölkopf, B. |journal=[[Neural Computation (journal)|Neural Computation]]|volume=18 |pages=3097&ndash;3118 |year=2006 |issue=12|pmid=17 ...

...]] is weak bonding.<ref>Serope Kalpakjian, Steven R Schmid. "Manufacturing Engineering and Technology". 6th Ed. Prentice Hall, Inc. 2009, p. 223. {{ISBN|013608168 ...r reinforced ceramic composites using finite element method and artificial neural networks]," Computational Materials Science, Vol. 79, pp.663-676, 2013.</re ...

...ents. Research Report No. 589, Department of Automatic Control and Systems Engineering, The University of Sheffield.</ref> that extends fuzzy ARTMAP consisting of ...=https://ieeexplore.ieee.org/document/6261552|journal=IEEE Transactions on Neural Networks and Learning Systems|volume=23|issue=10|pages=1574–1586|doi=10.110 ...

...ournal = Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences | volume = 380 | issue = 2227 | pages = 20210246 | date = July 202 ...

This enables non-convex IPMs to be created, such as a single layer neural network. ...of Interval Neural Networks for Imprecise Training Data|year=2019|journal=Neural Networks|volume=118|pages=338–351|doi=10.1016/j.neunet.2019.07.005|pmid=313 ...

...iyappa BS|year=2019|title=RideNN: A new rider optimization algorithm based neural network for fault diagnosis of analog circuits|journal=IEEE Transactions on ...iyappa BS|year=2019|title=RideNN: A new rider optimization algorithm based neural network for fault diagnosis of analog circuits|journal=IEEE Transactions on ...

...n]]s play a prominent role in many scientific areas: mathematics, physics, engineering, chemistry, biology, medicine, economics, etc. This list presents different == Engineering == ...

...e]]).<ref name="Hinton15">{{cite arXiv|title=Distilling the knowledge in a neural network|year=2015|eprint=1503.02531|last1=Hinton|first1=Geoffrey|last2=Viny ...nt object detection models with knowledge distillation|journal=Advances in Neural Information Processing Systems|pages=742–751|year=2017}}</ref> [[acoustic m ...

...me= Oliver>{{cite journal|last=Oliver|first=J.L.|author2=Smith, P.M.|title=Neural Control of Leg Stiffness During Hopping in Boys and Men|journal=Journal of While the exact method by which this neural-modulation of limb stiffness occurs is unknown, many different hypotheses h ...