Exposure fusion
We propose a technique for fusing a bracketed exposure sequence into a high quality
image, without converting to HDR first. Skip** the physically-based HDR assembly step …
image, without converting to HDR first. Skip** the physically-based HDR assembly step …
Exploiting the Black-Litterman framework through error-correction neural networks
Abstract The Black-Litterman (BL) model is a particularly essential analytical tool for effective
portfolio management in financial services sector since it enables investment analysts to …
portfolio management in financial services sector since it enables investment analysts to …
A multi-input with multi-function activated weights and structure determination neuronet for classification problems and applications in firm fraud and loan approval
Neuronets trained by a weights-and-structure-determination (WASD) algorithm are known to
resolve the shortcomings of traditional back-propagation neuronets such as slow training …
resolve the shortcomings of traditional back-propagation neuronets such as slow training …
Cross-validation based weights and structure determination of Chebyshev-polynomial neural networks for pattern classification
This paper first proposes a new type of single-output Chebyshev-polynomial feed-forward
neural network (SOCPNN) for pattern classification. A new type of multi-output Chebyshev …
neural network (SOCPNN) for pattern classification. A new type of multi-output Chebyshev …
[BOOK][B] Deep neural networks: wasd neuronet models, algorithms, and applications
Toward Deep Neural Networks: WASD Neuronet Models, Algorithms, and Applications
introduces the outlook and extension toward deep neural networks, with a focus on the …
introduces the outlook and extension toward deep neural networks, with a focus on the …
Feedback control systems stabilization using a bio-inspired neural network
The proportional–integral–derivative (PID) control systems, which have become a standard
for technical and industrial applications, are the fundamental building blocks of classical and …
for technical and industrial applications, are the fundamental building blocks of classical and …
A weights direct determination neuronet for time‐series with applications in the industrial indices of the Federal Reserve Bank of St. Louis
SD Mourtas - Journal of Forecasting, 2022 - Wiley Online Library
The shortcomings of conventional back‐propagation neuronets, such as slow training speed
and local minimum, are known to be addressed by neuronets trained under the weights‐and …
and local minimum, are known to be addressed by neuronets trained under the weights‐and …
Credit and Loan Approval Classification Using a Bio-Inspired Neural Network
Numerous people are applying for bank loans as a result of the banking industry's
expansion, but because banks only have a certain amount of assets to lend to, they can only …
expansion, but because banks only have a certain amount of assets to lend to, they can only …
Stabilization of stochastic exchange rate dynamics under central bank intervention using neuronets
The exchange rate dynamics affect national economies because fluctuations in currency
prices distort their economic activity. To maintain an optimal exchange rate policy, these …
prices distort their economic activity. To maintain an optimal exchange rate policy, these …
Multi-input bio-inspired weights and structure determination neuronet with applications in European Central Bank publications
This paper introduces a 3-layer feed-forward neuronet model, trained by novel beetle
antennae search weights-and-structure-determination (BASWASD) algorithm. On the one …
antennae search weights-and-structure-determination (BASWASD) algorithm. On the one …