Hopfield model

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Hopfield network

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The hydrostatic component of the troposphere can be mitigated by a number of models like the Saastamoinen or Hopfield model.

GPS/GLONASS precise point positioning with IGS real-time service products

They cover the Hopfield model, a network counting chimes, associative memory networks at low rates, towards networks of spiking neurons, the Miyashita correlations, learning in networks with discrete synapses, the Behavioral and Brain Science review, dynamics of networks of spiking neurons, electronic implementations, prospective activity, multi-item working memory, learning with spike-driven plastic synapses, and familiarity recognition.

Selected papers of Daniel Amit (1938-2007)

Hopfield model has been used for the estimation of tropospheric delay [4].

Determination of GPS receiver position using Multivariate Newton-Raphson Technique for over specified cases

The computation of the ZHD may be done with the aid of the models developed so far; we mention here the Hopfield model, the Saastamoinen model, etc.

Estimating the precipitable water vapour using Romania's permanent GPS network

The tropospheric delay algorithm is based on the Hopfield model.

A method to estimate the ionospheric bias by using the new GNSS frequencies: an analysis of its theoretical accuracy in a PPP context

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