604 citations
5 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…
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…
CHAOS: A Parallelization Scheme for Training Convolutional Neural Networks on Intel Xeon Phi
Andre Viebke, Suejb Memeti, Sabri Pllana +1
Deep learning is an important component of big-data analytic tools and intelligent applications, such as, self-driving cars, computer vision, speech recognition, or precision medic…