& Park, H. I. Neural network formula for local scour at piers using field data. Mar. Georesour. Geotechnol. 28 (1), 37-48.Shin JH, Park HI (2010) Neural network formula for local scour at piers using field data. J Mar Georesour Geotechnol 28:37–48...
In the context of recurrent neural networks (RNNs), the core formula and algorithm are based on the idea of processing sequential data by maintaining an internal hidden state that can capture information from previous time steps. This allows RNNs to model temporal dependencies in the data.Here'...
Cellular beams are an attractive option for the steel construction industry due to their versatility in terms of strength, size, and weight. Further benefits are the integration of services thereby reducing ceiling-to-floor depth (thus, building's height), which has a great economic impact. More...
We show that for asymmetric neural networks the symmetric degree η of the synaptic coupling can be related to the two main network parameters, the storage capacity α and another designing parameter κ by the formula η = ακ. Such a relation has been well verified by the simulations of ou...
Pre-training language models (PLMs) are the most important method for generating word embedding. Among them, Word2Vec [26] based on neural network has achieved great success. It greatly alleviates the problem of feature sparsity and improves the semantic information expression of embedding vector, ...
apropagation neural network model is very efficient for the prediction of the perovskite-type SrTi03 nano-crystal sample purity.[translate] athere would be plenty of water to go round 有去的大量水在周围[translate] a这是浙江建桥能源发展有限公司对国家大力发展能源产业战略的积极呼应 This is Zhejiang...
Today, we ask the neural network to predict the future. Bayes formula Bayes' formula, also called Bayes' theorem, is a mathematical formula that allows you to calculate the probability of an event A, knowing that another event B has already occurred. ...
Neural Network and Genetic Algorithm Software for solving prediction, classification, forecasting, and optimization problems
Mean absolute error from predicted refraction was +0.63 D for the neural network group and +0.93 D for the Holladay personal group. There was a significant difference in postoperative refractive errors and mean absolute error between the two groups (P < .022; nonparametric Mann-Whitney test). ...
Recurrence formulas usually provide a convenient computational scheme for finding the terms of a sequence one after another. Sometimes, however, an attempt is made to obtain on the basis of recurrence formula an “explicit” expression for thenth term of the sequence described by the formula. Thus...