604 citations · 949 across the 15 of their papers we have counts for
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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…
Convergence Analysis of Backpropagation Algorithm for Designing an Intelligent System for Sensing Manhole Gases
Varun Kumar Ojha, Paramartha Dutta, Atal Chaudhuri +1
Human fatalities are reported due to the excessive proportional presence of hazardous gas components in the manhole, such as Hydrogen Sulfide, Ammonia, Methane, Carbon Dioxide, Nit…
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…
Identifying hazardousness of sewer pipeline gas mixture using classification methods: a comparative study
Varun Kumar Ojha, Paramartha Dutta, Atal Chaudhuri
In this work, we formulated a real-world problem related to sewer pipeline gas detection using the classification-based approaches. The primary goal of this work was to identify th…
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…
Metaheuristic Design of Feedforward Neural Networks: A Review of Two Decades of Research
Varun Kumar Ojha, Ajith Abraham, Václav Snášel
Over the past two decades, the feedforward neural network (FNN) optimization has been a key interest among the researchers and practitioners of multiple disciplines. The FNN optimi…