Bijan Bihari Misra

发表

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.

Reduced polynomial neural swarm net for classification task in data mining

Ganapati Panda, Satchidananda Dehuri, Pradipta Kishore Dash, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

A New Approach of Integrating PSO & Improved GA for Clustering with Parallel and Transitional Technique

Suresh Chandra Satapathy, Bijan Bihari Misra, J. V. R. Murthy, 2007, Third International Conference on Natural Computation (ICNC 2007).

Estimation of physical properties of calcined-alumina using swarm evolved neural net

Satyananda Champati Rai, Bijan Bihari Misra, Ajit Kumar Nayak, 2009, 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC).

A condensed polynomial neural network for classification using swarm intelligence

Sung-Bae Cho, Satchidananda Dehuri, Ashish Ghosh, 2011, Appl. Soft Comput..

A Notable Swarm Approach to Evolve Neural Network for Classification in Data Mining

Sung-Bae Cho, Satchidananda Dehuri, Bijan Bihari Misra, 2008, ICONIP.

A multiclass SVM classifier with teaching learning based feature subset selection for enzyme subclass classification

Bijan Bihari Misra, Biswajit Sahoo, Sudarsan Padhy, 2020, Appl. Soft Comput..

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..

Pipelining the ranking techniques for microarray data classification: A case study

Bijan Bihari Misra, Rasmita Dash, B. Misra, 2016, Appl. Soft Comput..

Particle Swarm Optimized Polynomials for Data Classification

Pradipta Kishore Dash, Suresh Chandra Satapathy, Bijan Bihari Misra, 2006, Sixth International Conference on Intelligent Systems Design and Applications.

A Multi-objective QoS Optimization with Fuzzy Based Parameter Setting for Real-Time Multicasting

Rajib Mall, Sateesh Kumar Pradhan, Satyananda Champati Rai, 2010, Int. J. Commun. Netw. Syst. Sci..

A multi-objective feature selection and classifier ensemble technique for microarray data analysis

Bijan Bihari Misra, Rasmita Dash, 2018, Int. J. Data Min. Bioinform..

Hybrid Genetic Algorithm and time delay neural network model for Forecasting Traffic flow

Bijan Bihari Misra, Kumar Abhishek, B. Misra, 2016, 2016 IEEE International Conference on Engineering and Technology (ICETECH).

Gene selection and classification of microarray data: A Pareto DE approach

Bijan Bihari Misra, Rasmita Dash, B. Misra, 2017, Intell. Decis. Technol..

Efficient Classifier Design with Hybrid Polynomial Neural Network

Ganapati Panda, Pradipta Kishore Dash, Bijan Bihari Misra, 2011, Integration of Swarm Intelligence and Artificial Neural Network.

Particle swarm optimized multiple regression linear model for data classification

Ganapati Panda, Pradipta Kishore Dash, P. V. G. D. Prasad Reddy, 2009, Appl. Soft Comput..

Simplified Polynomial Neural Network for classification task in data mining

Ganapati Panda, Pradipta Kishore Dash, Bijan Bihari Misra, 2007, 2007 IEEE Congress on Evolutionary Computation.

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.

Biological Data Analysis Using Hybrid Functional Link Artificial Neural Network

Bijan Bihari Misra, Rasmita Dash, Manaswini Jena, 2014, SEMCCO.

Genetic Feature Selection for Optimal Functional Link Artificial Neural Network in Classification

Sung-Bae Cho, Satchidananda Dehuri, Bijan Bihari Misra, 2008, IDEAL.

Extreme learning with chemical reaction optimization for stock volatility prediction

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

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.

A reduced and comprehensible polynomial neural network for classification

Ganapati Panda, Satchidananda Dehuri, Pradipta Kishore Dash, 2008, Pattern Recognit. Lett..