Results 111 to 120 of about 4,010,683 (211)

Neural modeling and neural networks

, 1994
The purpose of the book is to describe some important markers in neural modeling and neural networks. Towards this aim, different topics of neural structures and functions, tecniques of spike train analysis, dynamics of single neuron, oscillations in ...
Ventriglia F
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Social dominance orientation underlies social valuation in a competitive social hierarchy

Frontiers in Psychology
IntroductionHumans are constantly evaluating whether they are in a fair situation. However, perceptions of fairness vary widely across individuals. What governs this individual variability in fairness perception remains poorly understood.
Zhang Qiang, Zhang Qiang, Masahiko Haruno, Masahiko Haruno   +3 more
doaj   +1 more source

How Do Neural Networks Enhance the Predictability of Central European Stock Returns? [PDF]

In this paper, the author applies neural networks as nonparametric and nonlinear methods to Central European (Czech, Polish, Hungarian, and German) stock market returns modeling.
Jozef Baruník
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Combining case based reasoning with neural networks [PDF]

, 1993
This paper presents a neural network based technique for mapping problem situations to problem solutions for Case-Based Reasoning (CBR) applications. Both neural networks and CBR are instance-based learning techniques, although neural nets work with ...
Murray-Smith, R, Thakar, S.
core  

On neural networks [PDF]

Communications of the ACM, 2018
openaire   +2 more sources

Can Graph Neural Networks Understand Chemical Elements? [PDF]

J Chem Inf Model
Kyllesbech V, Poole Iii DA, Alivanistos D, Cochez M, Mouhib H, Geerke DP.   +5 more
europepmc   +1 more source

Spiking Versus Traditional Neural Networks for Character Recognition on FPGA Platform

, 2018
Spiking Neural Networks (SNN) is considered the third generation of neural networks. This type of neural networks are inspired from biological nature of cortical neuron, and they (SNNs) introduced the concept of time rather than using real-valued inputs ...
Mohammad Kadhim, Thaer; Department of Control Systems Engineering, University of Technology, Sina'a St., Baghdad, Iraq, Humaidi, Amjad J.; Department of Control Systems Engineering, University of Technology, Sina'a St., Baghdad, Iraq   +1 more
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Can neural networks model the human perception of geometric shapes? [PDF]

PLoS Comput Biol
Pajot M, Morfoisse T, Sablé-Meyer M, Lakretz Y, Dehaene S.   +4 more
europepmc   +1 more source

Modeling brand choice using boosted and stacked neural networks [PDF]

The brand choice problem in marketing has recently been addressed with methods from computational intelligence such as neural networks. Another class of methods from computational intelligence, the so-called ensemble methods such as boosting and stacking
Rijthoven, M. van, Potharst, R., Wezel, M.C. van   +2 more
core  

Solving the vibrational Schrödinger equation with artificial neural networks. [PDF]

Nat Commun
Zhao S, Zhang DH.
europepmc   +1 more source