LOCAL SIGMOID METHOD: NON-ITERATIVE DETERMINISTIC LEARNING ALGORITHM FOR AUTOMATIC MODEL CONSTRUCTION OF NEURAL NETWORK

Local Sigmoid Method: Non-Iterative Deterministic Learning Algorithm for Automatic Model Construction of Neural Network

A non-iterative learning algorithm for artificial neural networks is an alternative to optimize the neural network parameters with extremely fast convergence time.Extreme learning machine (ELM) is one of the fastest learning algorithms based on a non-iterative method for a single hidden layer feedforward neural network (SLFN) model.ELM uses a rando

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DNA Metabarcoding Enables High-Throughput Detection of Spotted Wing Drosophila (Drosophila suzukii) Within Unsorted Trap Catches

The spotted wing drosophila (Drosophila suzukii, Matsumara) is a rapidly spreading global pest of soft and stone fruit production.Due to the similarity of many of its life stages to other cosmopolitan drosophilids, surveillance for this pest is currently bottlenecked by the laborious sorting and morphological identification of large mixed trap catc

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Pengaruh Pertumbuhan Penjualan Dan Likuiditas Terhadap Profitabilitas (Pada Perusahaan Consumer Goods yang Terdaftar Pada BEI Tahun 2006-2011)

This research aims to analyze whether or not the variables of sales growth and liquidity have influence to the profitability rate of consumer goods companies in sub sector of foods and baverage department in Indonesia.This research used multiple regression analysis method to find out the effect soderhamn ottoman cover of independent variables, whic

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