A comprehensive survey on higher order neural networks and evolutionary optimization learning algorithms in financial time series forecasting
S Behera, SC Nayak, AVSP Kumar - Archives of Computational Methods …, 2023 - Springer
The financial market volatility has been a focus of study for experts over past decades. While
stockbrokers and investors expect reliable projections of future stock indices, it instead …
stockbrokers and investors expect reliable projections of future stock indices, it instead …
An application of data mining techniques for flood forecasting: application in rivers Daya and Bhargavi, India
In the present study, with a view to speculate the water flow of two rivers in eastern India
namely river Daya and river Bhargavi, the focus was on developing Cascaded Functional …
namely river Daya and river Bhargavi, the focus was on developing Cascaded Functional …
A multi-item periodic review probabilistic fuzzy inventory model with possibility and necessity constraints
T Garai, D Chakraborty, TK Roy - International Journal of …, 2016 - inderscienceonline.com
This paper investigates a multi-item periodic review probabilistic inventory model in fuzzy
environment. Here, we have considered a single source of the inventory model with zero …
environment. Here, we have considered a single source of the inventory model with zero …
Efficient forecasting of financial time-series data with virtual adaptive neuro-fuzzy inference system
Uncertainties and non-linearity associated with the stock index make it difficult to predict its
behaviour and hence it remains a challenging task for researchers. Newly developed …
behaviour and hence it remains a challenging task for researchers. Newly developed …
A novel approach for detection of coronavirus disease from computed tomography scan images using the pivot distribution count method
A Ranganath, PK Sahu… - Computer Methods in …, 2022 - Taylor & Francis
Detecting a person infected with coronavirus disease is a challenging task. In some cases,
the infection is asymptomatic in nature. A computed tomography scan of images provides …
the infection is asymptomatic in nature. A computed tomography scan of images provides …
Improving demand forecasting using change point analysis
A common phenomenon that decreases the accuracy of time series forecasting is the
existence of change points in the data. This paper presents a method for time series …
existence of change points in the data. This paper presents a method for time series …
Arithmetic operations of trapezoidal fuzzy variable using credibility theory
T Garai, D Chakraborty, TK Roy - International Journal of …, 2017 - inderscienceonline.com
In this paper, we have developed an alternative method of finding the fuzzy membership
function which leads the functions of trapezoidal fuzzy variables. Here we have used the …
function which leads the functions of trapezoidal fuzzy variables. Here we have used the …