A5055705762- Approximation Theory and Sequence Spaces
- Fuzzy and Soft Set Theory
- Neural Networks and Applications
- Fixed Point Theorems Analysis
- Machine Learning and ELM
- Advanced Harmonic Analysis Research
- Mathematical Approximation and Integration
- Nanopore and Nanochannel Transport Studies
- Scientific and Engineering Research Topics
- Advanced Algebra and Logic
- Rings, Modules, and Algebras
- Advanced Topics in Algebra
- Non-Invasive Vital Sign Monitoring
- Image and Signal Denoising Methods
- E-commerce and Technology Innovations
- Blind Source Separation Techniques
- Face and Expression Recognition
- Advanced Banach Space Theory
National Institute Of Technology Silchar
2024
National Institute of Technology Durgapur
2020-2024
University of Burdwan
2017
In this paper, using the concept of ideal, we study idea rough ideal convergence sequences which is an extension notion in a partial metric space. We define set $\mathcal{I}$-limit points and $\mathcal{I}$-cluster then prove some relevant results associated with these sets.
The immunity of multilayer perceptron (MLP) is less effective toward input noise. In this article, we have focused on the robustness MLP with respect to noise where can be additive or multiplicative. Here, proposed a DropConnect-based regularized reduce coadaptation among neurons hidden layer. At first, empirically and statistically shown that by reducing neurons, an achieve better immunity. We also injection <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML"...
In this paper we have shown that a double sequence in topological space satisfies certain conditions which turn are capable to generate topology on non empty set. Also used the idea of I-convergence sequences study I-sequentially compactness [3] sense sequences.
Generalization implies the ability to recognize an input pattern not used during training of a neural network. Effective regularization strategies are one ways make generalization capability network better. In this article, objective is improve multilayer perceptron (MLP) by with help KL-Divergence (KLD) based weight adaption technique. For purpose, we modify conventional criterion MLP incorporating KLD as additional term mean squared error function. We have tested proposed regularizing...
Here we have studied the idea of connectedness and totally disconnectedness in a bispace some its basic properties. Also it has been investigated how far several results as valid bitopological space are affected bispace.
The idea of pairwise paracompactness was studied by many authors in a bitopological space. Here we study the same setting more general structure bispace using thoughts given Bose et al[2].
In this paper, we have introduced the idea of rough Cauchyness sequences in a cone metric space. We also discussed several basic properties Cauchy space using Phu [8].