Sarat Chandra Nayak

20 papers Journal 16Unranked 4
YearRankTypeTitle / Venue / Authors
2024 J jnl
Estimation of compressive strength of concrete cement using random vector functional link networks: a case study.
Soft Comput.
Sarat Chandra Nayak, Subhranginee Das, Bijan Bihari Misra, Sung-Bae Cho
2024 J jnl
Expediting Prediction Accuracy with Exploration and Incorporation of Virtual Data.
SN Comput. Sci.
Sarat Chandra Nayak, Satchidananda Dehuri, Sung-Bae Cho
2024 J jnl
Improved Set Algebra-Based Heuristic Technique for Training Multiplicative Functional Link Artificial Neural Networks for Financial Time Series Forecasting.
SN Comput. Sci.
Sudersan Behera, A. V. S. Pavan Kumar, Sarat Chandra Nayak
2023 J jnl
An Elitist Artificial Electric Field Algorithm Based Random Vector Functional Link Network for Cryptocurrency Prices Forecasting.
IEEE Access
Sarat Chandra Nayak, Subhranginee Das, Satchidananda Dehuri, Sung-Bae Cho
2023 J jnl
An artificial electric field algorithm-based neuro-fuzzy predictor for estimation of compressive strength of concrete structures: A machine learning approach.
Informatica (Slovenia)
Ch. Sanjeev Kumar Dash, Sarat Chandra Nayak, Ajit Kumar Behera, Satchidananda Dehuri
2023 — conf
Improved firefly based pi-sigma neural network for gold price prediction.
OCIT
Sudersan Behera, A. V. S. Pavan Kumar, Sarat Chandra Nayak
2022 J jnl
Bitcoin closing price movement prediction with optimal functional link neural networks.
Evol. Intell.
Sarat Chandra Nayak
2022 — conf
ELMVDP: extreme learning based virtual data position exploration and incorporation method for escalation of time series forecasting accuracy.
OCIT
Sarat Chandra Nayak, Satchidananda Dehuri, Sung-Bae Cho
2022 — conf
Estimation of Air Quality Index of Brajarajnagar and Talcher Industrial Region of Odisha State: A Higher Order Neural Network Approach.
OCIT
Ch. Sanjeev Kumar Dash, Ajit Kumar Behera, Sarat Chandra Nayak, Satchidananda Dehuri, Jasaswi Prasad Mohanty
2022 J jnl
Extreme Learning With Metaheuristic Optimization for Exchange Rate Forecasting.
Int. J. Swarm Intell. Res.
Kishore Kumar Sahu, Sarat Chandra Nayak, Himansu Sekhar Behera
2022 J jnl
Intelligent Financial Forecasting With an Improved Chemical Reaction Optimization Algorithm Based Dendritic Neuron Model.
IEEE Access
Sarat Chandra Nayak, Satchidananda Dehuri, Sung-Bae Cho
2021 — conf
A machine learning approach for estimating compressive strength of concrete structures using an artificial electric field algorithm-based neuro-fuzzy predictor.
OCIT
Sarat Chandra Nayak, Ch. Sanjeev Kumar Dash, Ajit Kumar Behera, Bijan Bihari Mishra
2021 J jnl
Artificial chemical reaction optimisation of recurrent functional link neural networks for efficient modelling and forecasting of financial time series.
Int. J. Autom. Control.
Sarat Chandra Nayak
2020 J jnl
A fireworks algorithm based Pi-Sigma neural network (FWA-PSNN) for modelling and forecasting chaotic crude oil price time series.
EAI Endorsed Trans. Energy Web
Sarat Chandra Nayak
2020 J jnl
Forecasting currency exchange rate time series with fireworks-algorithm-based higher order neural network with special attention to training data enrichment.
Comput. Sci.
Kishore Kumar Sahu, Sarat Chandra Nayak, Himansu Sekhar Behera
2019 J jnl
ACFLN: artificial chemical functional link network for prediction of stock market index.
Evol. Syst.
Sarat Chandra Nayak, Bijan Bihari Misra, Himansu Sekhar Behera
2019 J jnl
An Integrated CRO and FLANN Based Classifier for a Non-Imputed and Inconsistent Dataset.
Int. J. Artif. Intell. Tools
Ch. Sanjeev Kumar Dash, Ajit Kumar Behera, Sarat Chandra Nayak, Satchidananda Dehuri, Sung-Bae Cho
2019 J jnl
Efficient financial time series prediction with evolutionary virtual data position exploration.
Neural Comput. Appl.
Sarat Chandra Nayak, Bijan Bihari Misra, Himansu Sekhar Behera
2019 J jnl
Escalation of Forecasting Accuracy through Linear Combiners of Predictive Models.
EAI Endorsed Trans. Scalable Inf. Syst.
Sarat Chandra Nayak
2016 J jnl
An Adaptive Second Order Neural Network with Genetic-Algorithm-based Training (ASONN-GA) to Forecast the Closing Prices of the Stock Market.
Int. J. Appl. Metaheuristic Comput.
Sarat Chandra Nayak, Bijan Bihari Misra, Himansu Sekhar Behera