Bio-inspired hybridization of artificial neural networks: An application for map** the spatial distribution of soil texture fractions

R Taghizadeh-Mehrjardi, M Emadi, A Cherati… - Remote Sensing, 2021 - mdpi.com
Soil texture and particle size fractions (PSFs) are a critical characteristic of soil that
influences most physical, chemical, and biological properties of soil; furthermore, reliable …

Predictive models for power management of a hybrid microgrid—A review

V Prema, KU Rao - 2014 International Conference on Advances …, 2014 - ieeexplore.ieee.org
The energy demand of the human civilization is increasing day by day, which has made man
to look for alternative sources, considering that the fossil fuels, which are the principal …

FOREX trend analysis using machine learning techniques: INR vs USD currency exchange rate using ANN-GA hybrid approach

PK Sarangi, M Chawla, P Ghosh, S Singh… - Materials Today …, 2022 - Elsevier
Time series is the analysis of historical data which is used to analyse the past trend and then
to determine the future directions. This helps organizations to make a proper plan and …

Machine learning based hybrid model for gold price prediction in India

PK Sarangi, R Verma, S Inder… - 2021 9th International …, 2021 - ieeexplore.ieee.org
Precious metals like gold are in high demand due to their usage as jewellery, storage of
value and also as part of a diversified investment portfolio. When it comes to an investment …

Gurmukhi numerals recognition using ann

PK Sarangi, AK Sahoo, G Kaur, SR Nayak… - Cognitive informatics and …, 2022 - Springer
Computer recognition of hand written characters has been a basic requirement nowadays
and has been a subject of intensive research for the last few decades. Use of Artificial …

Optimization of neural network architecture using genetic algorithm for load forecasting

B ul Islam, Z Baharudin, MQ Raza… - 2014 5th International …, 2014 - ieeexplore.ieee.org
In this paper, a computational intelligent technique genetic algorithm (GA) is implemented
for the optimization of artificial neural network (ANN) architecture. The network structures are …

Hybrid particle swarm optimization with genetic algorithm to train artificial neural networks for short-term load forecasting

KD Abeyrathna, C Jeenanunta - Research Anthology on Artificial …, 2022 - igi-global.com
This research proposes a new training algorithm for artificial neural networks (ANNs) to
improve the short-term load forecasting (STLF) performance. The proposed algorithm …

Financial modeling using ANN technologies: Result analysis with different network architectures and parameters

P Sarangi, D Sinha, S Sinha… - Indian Journal of …, 2019 - indianjournalofmarketing.com
The future is always uncertain and uncertainty leads to risk. The elaborate exercise of
forecasting and making predictions is a course of action to which organizations take …

[PDF][PDF] Modeling consumer price index: an empirical analysis using expert modeler

C Singla, PK Sarangi, S Singh… - Journal of Technology …, 2019 - academia.edu
Consumer price index (CPI) a popular economic indicator for India that represents the prices
paid by customers for goods and services consumedby them. CPI is often used as an …

Combine particle swarm optimization with artificial neural networks for short-term load forecasting

C Jeenanunta, KD Abeyrathn - International Scientific Journal of …, 2017 - ph02.tci-thaijo.org
Electricity consumption curves are highly non-linear as many external factors affect the
electricity consumption. Artificial Neural Networks (ANNs) are popular in electricity load …