Search Results - subject:"Sigmoid function"

Research on digital online inspection of product quality in tobacco production enterprises

Chen, Feng; Liao, Minye; Deng, Chunning; Su, Ling - In: International journal of innovation & sustainable … 18 (2024) 5/6, pp. 629-647

Persistent link: https://www.econbiz.de/10015065198

A deterministic model for the inventory policy of countries for procurement of vaccines

Pınarbaşı, Aysun; Vizvári, Béla - In: Central European journal of operations research 31 (2023) 4, pp. 1029-1041

Persistent link: https://www.econbiz.de/10014392994

An application of sigmoid and double-sigmoid functions for dynamic policyholder behaviour

Baione, Fabio; Biancalana, Davide; De Angelis, Paolo - In: Decisions in economics and finance : a journal of … 44 (2021) 1, pp. 5-22

Persistent link: https://www.econbiz.de/10012587809

A smooth covariate rank transformation for use in regression models with a sigmoid dose–response function

Royston, Patrick - In: Stata Journal 14 (2014) 2, pp. 329-341

smoothed, scaled ranks as the covariate. When the resulting fractional polynomial function is monotone, we have a sigmoid … function. We demonstrate several practical applications of the approximate cumulative distribution transformation while also …

Persistent link: https://www.econbiz.de/10010801225

METHODS AND EXPERIMENTS REGARDING LEARNING FUZZY COGNITIVE MAPS (FCM) WEIGHTS USED IN FUPOL

Moise, Maria; Popa, Victor - In: Romanian Economic Business Review 8 (2014) 1, pp. 77-93

In order to develop a suitable method for computing Fuzzy Cognitive Maps (FCM) weights in FUPOL project, we compare two methods for computing FCM weights using as historical data the data obtained by simulating a simple FCM model. First method Least Square Error (LSE) is based on optimization...

Persistent link: https://www.econbiz.de/10010781673

Improved Water Level Forecasting Performance by Using Optimal Steepness Coefficients in an Artificial Neural Network

Sulaiman, Muhammad; El-Shafie, Ahmed; Karim, Othman; … - In: Water Resources Management 25 (2011) 10, pp. 2525-2541

to date have used a sigmoid function in a multi-layer perceptron neural network as the basis of the ANN; however, they … steepness coefficient (SC) in the sigmoid function of an ANN model designed to test the accuracy of 1-day water level forecasts …

Persistent link: https://www.econbiz.de/10010794544

Improvement of signal-to-noise ratio by stochastic resonance in sigmoid function threshold systems, demonstrated using a CMOS inverter

Ueda, Michihito - In: Physica A: Statistical Mechanics and its Applications 389 (2010) 10, pp. 1978-1985

achieve output change when noise was weak, we numerically analyzed a sigmoid function threshold system. When the slope around … input–output property of a CMOS inverter resembles the sigmoid function. By inputting the noisy signal voltage to a CMOS …

Persistent link: https://www.econbiz.de/10010590132

Double logistic curve in regression modeling

Lipovetsky, Stan - In: Journal of Applied Statistics 37 (2010) 11, pp. 1785-1793

The logistic sigmoid curve is widely used in nonlinear regression and in binary response modeling. There are problems corresponding to a double sigmoid behavior which consists of the first increase to an early saturation at an intermediate level, and the second sigmoid with the eventual plateau...

Persistent link: https://www.econbiz.de/10008674980

Künstliche neuronale Netze und ihre Beziehungen zur Statistik

Widmann, Gabriele - 2001

Persistent link: https://www.econbiz.de/10001543805