Results 81 to 90 of about 43,273 (183)

Quantification of Uncertainty in Mathematical Models: The Statistical Relationship between Field and Laboratory pH Measurements

Applied and Environmental Soil Science, 2017
The measurement of soil pH using a field portable test kit represents a fast and inexpensive method to assess pH. Field based pH methods have been used extensively for agricultural advisory services and soil survey and now for citizen soil science ...
Kurt K. Benke, Nathan J. Robinson
doaj   +1 more source

Application of Sigmoidal Transformation Functions in Optimization of Micellar Liquid Chromatographic Separation of Six Quinolone Antibiotics [PDF]

, 2015
Mohammadreza Hadjmohammadi, Mina Salary
openalex   +1 more source

Efficient FPGA Implementation of Sigmoid and Bipolar Sigmoid Activation Functions for Multilayer Perceptrons

IOSR Journal of Engineering, 2012
Artificial Neural Networks base their processing capabilities in a parallel architecture. This makes them extremely useful in pattern recognition, system identification and control problems. Multilayer Perceptron is an artificial neural network with one or more hidden layers. The Activation function determines the performance of a Multilayer Perceptron.
openaire   +1 more source

Volume Dimension of Mass Functions in Complex Networks

Mathematics
A novel definition of volume dimension for a mass function based on a sigmoid asymptote is proposed; in particular, we extend the volume dimension of a mass function to define the volume dimensions for nodes and edges in complex networks.
Maria del Carmen Soto-Camacho, Jazmin Susana De la Cruz-Garcia, Juan Bory-Reyes, Aldo Ramirez-Arellano   +3 more
doaj   +1 more source

Global Universality of the Two-Layer Neural Network with the k-Rectified Linear Unit

Journal of Function Spaces
This paper concerns the universality of the two-layer neural network with the k-rectified linear unit activation function with k=1,2,… with a suitable norm without any restriction on the shape of the domain in the real line. This type of result is called
Naoya Hatano, Masahiro Ikeda, Isao Ishikawa, Yoshihiro Sawano   +3 more
doaj   +1 more source

Edge Information Based Image Fusion Metrics Using Fractional Order Differentiation and Sigmoidal Functions [PDF]

, 2020
Animesh Sengupta, Ayan Seal, Chinmaya Panigrahy, Ondřej Krejcar, Anis Yazidi   +4 more
openalex   +1 more source

Comparison of the goodness of fit for Gaussian versus sigmoidal functions.

, 2015
Jung‐Ah Lee, M. Groh Jennifer
openalex   +2 more sources

A note on neural network approximation with a sigmoidal function

, 2016
Bum Il Hong, Nahmwoo Hahm
openalex   +1 more source

Comparative Analysis Of Sigmoidal Feedforward Artificial Neural Networks And Radial Basis Function Networks Approach For Localization In Wireless Sensor Networks

, 2016
Ashish Payal, Sien Chi, B. V. R. Reddy
openalex   +1 more source

An Algorithm for Qualitative Simulation of Gene Regulatory Networks with Steep Sigmoidal Response Functions [PDF]

, 2008
Liliana Ironi, Luigi Panzeri, Erik Plahte   +2 more
openalex   +1 more source