Sarat Chandra Nayak

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 19

Top Topics

Financial Time Series

Forecasting Accuracy

Top Venues

SN Comput. Sci.

EAI Endorsed Trans. Scalable Inf. Syst.

Publications

Sarat Chandra Nayak, Satchidananda Dehuri, Sung-Bae Cho
Expediting Prediction Accuracy with Exploration and Incorporation of Virtual Data. SN Comput. Sci. 5 (5) (2024)
Sudersan Behera, A V. S. Pavan Kumar, Sarat Chandra Nayak
Improved Set Algebra-Based Heuristic Technique for Training Multiplicative Functional Link Artificial Neural Networks for Financial Time Series Forecasting. SN Comput. Sci. 5 (5) (2024)
Sarat Chandra Nayak, Subhranginee Das, Satchidananda Dehuri, Sung-Bae Cho
An Elitist Artificial Electric Field Algorithm Based Random Vector Functional Link Network for Cryptocurrency Prices Forecasting. IEEE Access 11 (2023)
Ch. Sanjeev Kumar Dash, Sarat Chandra Nayak, Ajit Kumar Behera, Satchidananda Dehuri
An artificial electric field algorithm-based neuro-fuzzy predictor for estimation of compressive strength of concrete structures: A machine learning approach. Informatica (Slovenia) 47 (5) (2023)
Sudersan Behera, A V. S. Pavan Kumar, Sarat Chandra Nayak
Improved firefly based pi-sigma neural network for gold price prediction. OCIT (2023)
Ch. Sanjeev Kumar Dash, Ajit Kumar Behera, Sarat Chandra Nayak, Satchidananda Dehuri, Jasaswi Prasad Mohanty
Estimation of Air Quality Index of Brajarajnagar and Talcher Industrial Region of Odisha State: A Higher Order Neural Network Approach. OCIT (2022)
Sarat Chandra Nayak, Satchidananda Dehuri, Sung-Bae Cho
Intelligent Financial Forecasting With an Improved Chemical Reaction Optimization Algorithm Based Dendritic Neuron Model. IEEE Access 10 (2022)
Sarat Chandra Nayak
Bitcoin closing price movement prediction with optimal functional link neural networks. Evol. Intell. 15 (3) (2022)
Kishore Kumar Sahu, Sarat Chandra Nayak, Himansu Sekhar Behera
Extreme Learning With Metaheuristic Optimization for Exchange Rate Forecasting. Int. J. Swarm Intell. Res. 13 (1) (2022)
Sarat Chandra Nayak, Satchidananda Dehuri, Sung-Bae Cho
ELMVDP: extreme learning based virtual data position exploration and incorporation method for escalation of time series forecasting accuracy. OCIT (2022)
Sarat Chandra Nayak
Artificial chemical reaction optimisation of recurrent functional link neural networks for efficient modelling and forecasting of financial time series. Int. J. Autom. Control. 15 (6) (2021)
Sarat Chandra Nayak, Ch. Sanjeev Kumar Dash, Ajit Kumar Behera, Bijan Bihari Mishra
A machine learning approach for estimating compressive strength of concrete structures using an artificial electric field algorithm-based neuro-fuzzy predictor. OCIT (2021)
Kishore Kumar Sahu, Sarat Chandra Nayak, Himansu Sekhar Behera
Forecasting currency exchange rate time series with fireworks-algorithm-based higher order neural network with special attention to training data enrichment. Comput. Sci. 21 (4) (2020)
Sarat Chandra Nayak
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 7 (28) (2020)
Sarat Chandra Nayak
Escalation of Forecasting Accuracy through Linear Combiners of Predictive Models. EAI Endorsed Trans. Scalable Inf. Syst. 6 (22) (2019)
Ch. Sanjeev Kumar Dash, Ajit Kumar Behera, Sarat Chandra Nayak, Satchidananda Dehuri, Sung-Bae Cho
An Integrated CRO and FLANN Based Classifier for a Non-Imputed and Inconsistent Dataset. Int. J. Artif. Intell. Tools 28 (3) (2019)
Sarat Chandra Nayak, Bijan Bihari Misra, Himansu Sekhar Behera
Efficient financial time series prediction with evolutionary virtual data position exploration. Neural Comput. Appl. 31 (S-2) (2019)
Sarat Chandra Nayak, Bijan Bihari Misra, Himansu Sekhar Behera
ACFLN: artificial chemical functional link network for prediction of stock market index. Evol. Syst. 10 (4) (2019)
Sarat Chandra Nayak, Bijan Bihari Misra, Himansu Sekhar Behera
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. 7 (2) (2016)