604 citations · 698 across the 8 of their papers we have counts for
8 papers
Predictive modeling of die filling of the pharmaceutical granules using the flexible neural tree
Varun Kumar Ojha, Serena Schiano, Chuan-Yu Wu +2
In this work, a computational intelligence (CI) technique named flexible neural tree (FNT) was developed to predict die filling performance of pharmaceutical granules and to identi…
ACO for Continuous Function Optimization: A Performance Analysis
Varun Kumar Ojha, Ajith Abraham, Vaclav Snasel
The performance of the meta-heuristic algorithms often depends on their parameter settings. Appropriate tuning of the underlying parameters can drastically improve the performance…
Simultaneous Optimization of Neural Network Weights and Active Nodes using Metaheuristics
Varun Kumar Ojha, Ajith Abraham, Vaclav Snasel
Optimization of neural network (NN) significantly influenced by the transfer function used in its active nodes. It has been observed that the homogeneity in the activation nodes do…
Dimensionality reduction, and function approximation of poly(lactic-co-glycolic acid) micro- and nanoparticle dissolution rate
Varun Kumar Ojha, Konrad Jackowski, Ajith Abraham +1
Prediction of poly(lactic co glycolic acid) (PLGA) micro- and nanoparticles' dissolution rates plays a significant role in pharmaceutical and medical industries. The prediction of…
Multiobjective Programming for Type-2 Hierarchical Fuzzy Inference Trees
Varun Kumar Ojha, Vaclav Snasel, Ajith Abraham
This paper proposes a design of hierarchical fuzzy inference tree (HFIT). An HFIT produces an optimum treelike structure, i.e., a natural hierarchical structure that accommodates s…
Ensemble of heterogeneous flexible neural trees using multiobjective genetic programming
Varun Kumar Ojha, Ajith Abraham, Václav Snášel
Machine learning algorithms are inherently multiobjective in nature, where approximation error minimization and model's complexity simplification are two conflicting objectives. We…