Sarat Chandra Nayak

发表

Multi-Verse Optimization of Multilayer Perceptrons (MV-MLPs) for Efficient Modeling and Forecasting of Crude Oil Prices Data

Sarat Chandra Nayak, Ch. Sanjeev Kumar Dash, Bijan Bihari Mishra, 2019 .

Escalation of Prediction Accuracy With Virtual Data: A Case Study on Financial Time Series

Himansu Sekhar Behera, Sarat Chandra Nayak, B. B. Misra, 2018 .

Escalation of Forecasting Accuracy through Linear Combiners of Predictive Models

Sarat Chandra Nayak, S. Nayak, 2018, EAI Endorsed Trans. Scalable Inf. Syst..

Development and Performance Analysis of Fireworks Algorithm-Trained Artificial Neural Network (FWANN)

Sarat Chandra Nayak, Subhranginee Das, Bijan Bihari Misra, 2020, Handbook of Research on Fireworks Algorithms and Swarm Intelligence.

Exploration and incorporation of virtual data positions for efficient forecasting of financial time series

Sarat Chandra Nayak, Himansu Sekhar Behera, B. B. Misra, 2017 .

On Developing and Performance Evaluation of Adaptive Second Order Neural Network With GA-Based Training (ASONN-GA) for Financial Time Series Prediction

Sarat Chandra Nayak, B. B. Misra, Himansu Sekhar Behera, 2018 .

Adaptive Hybrid Higher Order Neural Networks for Prediction of Stock Market Behavior

Himansu Sekhar Behera, Sarat Chandra Nayak, B. B. Misra, 2016 .

Opposition-Based GA Learning of Artificial Neural Networks for Financial Time Series Forecasting

Sarat Chandra Nayak, Sanjib Kumar Nayak, Bimal Prasad Kar, 2016 .

Improving Software Reliability Prediction Accuracy Using CRO-Based FLANN

Mrutyunjaya Panda, Satchidananda Dehuri, Sarat Chandra Nayak, 2019 .

COA-HONN: cooperative optimization algorithm based higher order neural networks for stock fore casting

Mohd Dilshad Ansari, Sarat Chandra Nayak, Mohd. Dilshad Ansari, 2019, Recent Advances in Computer Science and Communications.

Forecasting currency exchange rate time series with fireworks-algorithm-based higher order neural network with special attention to training data enrichment

Sarat Chandra Nayak, K. K. Sahu, Kishore Kumar Sahu, 2020, Comput. Sci..

Forecasting foreign exchange rates using CRO based different variants of FLANN and performance analysis

Himansu Sekhar Behera, Sarat Chandra Nayak, Kishore Kumar Sahu, 2016 .

An Adaptive Second Order Neural Network with Genetic-Algorithm-based Training (ASONN-GA) to Forecast the Closing Prices of the Stock Market

Himansu Sekhar Behera, Sarat Chandra Nayak, Bijan Bihari Misra, 2016, Int. J. Appl. Metaheuristic Comput..

A fireworks algorithm based Pi-Sigma neural network (FWA-PSNN) for modelling and forecasting chaotic crude oil price time series

Sarat Chandra Nayak, S. Nayak, 2018, EAI Endorsed Trans. Energy Web.

Cascaded Adaptive Nonlinear Functional Link Networks for Modeling and Predicting Crude Oil Prices Time Series Data

Sarat Chandra Nayak, Santosh V. Kulukarni, Karthik Jilla, 2021 .

VANFIS: virtual adaptive neuro-fuzzy inference system for modelling and forecasting stock data

Sarat Chandra Nayak, B. B. Misra, 2019 .

Efficient forecasting of financial time-series data with virtual adaptive neuro-fuzzy inference system

Himansu Sekhar Behera, Sarat Chandra Nayak, B. B. Misra, 2016 .

Estimating stock closing indices using a GA-weighted condensed polynomial neural network

Sarat Chandra Nayak, B. B. Misra, B. Misra, 2018, Financial Innovation.

Improving Stock Market Prediction Through Linear Combiners of Predictive Models

Sarat Chandra Nayak, Ch. Sanjeev Kumar Dash, Satchidananda Dehuri, 2019, Advances in Intelligent Systems and Computing.

Evolving Low Complex Higher Order Neural Network Based Classifiers for Medical Data Classification

Himansu Sekhar Behera, Sarat Chandra Nayak, Sanjib Kumar Nayak, 2016 .

Development and Performance Evaluation of Adaptive Hybrid Higher Order Neural Networks for Exchange Rate Prediction

Sarat Chandra Nayak, S. Nayak, 2017 .

A chemical-reaction-optimization-based neuro-fuzzy hybrid network for stock closing price prediction

Sarat Chandra Nayak, Bijan Bihari Misra, B. Misra, 2019, Financial Innovation.

An Integrated CRO and FLANN Based Classifier for a Non-Imputed and Inconsistent Dataset

Sung-Bae Cho, Satchidananda Dehuri, Sarat Chandra Nayak, 2019, Int. J. Artif. Intell. Tools.

DE-Based RBFNs for Classification With Special Attention to Noise Removal and Irrelevant Features

Sarat Chandra Nayak, Ch. Sanjeev Kumar Dash, Ajit Kumar Behera, 2018 .

Extreme learning with chemical reaction optimization for stock volatility prediction

Sarat Chandra Nayak, Bijan Bihari Misra, B. Misra, 2020 .

Towards Designing and Performance Analysis of Evolving Higher Order Neural Networks for Modeling and Forecasting Exchange Rate Time Series Data

Himansu Sekhar Behera, Sarat Chandra Nayak, Kishore Kumar Sahu, 2020 .

Towards Designing a Computationally Efficient Neural Network Model for Improved Financial Time Series Forecasting

Sarat Chandra Nayak, B. Satyanarayana, Koppula Vijaya Kumar, 2020 .

ACRRFLN: Artificial Chemical Reaction of Recurrent Functional Link Networks for Improved Stock Market Prediction

Sarat Chandra Nayak, Karthik Jilla, Koppula Vijaya Kumar, 2019, Advances in Intelligent Systems and Computing.

Efficient financial time series prediction with evolutionary virtual data position exploration

Himansu Sekhar Behera, Sarat Chandra Nayak, Bijan Bihari Misra, 2017, Neural Computing and Applications.

TLBO-FLN: teaching learning based optimization of functional link neural networks for stock closing price prediction

Sarat Chandra Nayak, Subhranginee Das, Mohd. Dilsad Ansari, 2019 .

Usage of Convolutional Neural Networks in Real-Time Facial Emotion Detection

Sarat Chandra Nayak, Satchidananda Dehuri, Ch. Sanjeev Kumar Dash, 2021 .

Online Clinic Appointment System Using Support Vector Machine

Sarat Chandra Nayak, Ch. Sanjeev Kumar Dash, Ajit Behera, 2021 .

Bitcoin closing price movement prediction with optimal functional link neural networks

Sarat Chandra Nayak, S. Nayak, 2021, Evolutionary Intelligence.

Multi-Step-Ahead Exchange Rate Forecasting For South Asian Countries Using Multi-Verse Optimized Multiplicative Functional Link Neural Networks

Himansu Sekhar Behera, Sarat Chandra Nayak, K. K. Sahu, 2021 .

An Extreme Learning Machine-Based Model for Cryptocurrencies Prediction

Sarat Chandra Nayak, B. Satyanarayana, Bimal Prasad Kar, 2021, Smart Computing Techniques and Applications.

Assessing Compressive Strength of Concrete with Extreme Learning Machine

Sarat Chandra Nayak, Sanjib Kumar Nayak, Sanjay Kumar Panda, 2021 .

Design and Performance Evaluation of Monarch Butterfly Optimization-Based Artificial Neural Networks for Financial Time Series Prediction

Sarat Chandra Nayak, B. Satyanarayana, Bimal Prasad Kar, 2021 .

Towards Crafting Optimal Functional Link Artificial Neural Networks with Rao Algorithms for Stock Closing Prices Prediction

Sarat Chandra Nayak, Biswajit Sahoo, Subhranginee Das, 2021, Computational Economics.

Improving Performance of Higher Order Neural Network using Artificial Chemical Reaction Optimization: A Case Study on Stock Market Forecasting

Himansu Sekhar Behera, Sarat Chandra Nayak, B. B. Misra, 2016 .

Fluctuation prediction of stock market index by adaptive evolutionary higher order neural networks

Himansu Sekhar Behera, Sarat Chandra Nayak, B. B. Misra, 2016 .