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Neural Networks and Learning Systems

The term neural network refers to a network or circuit of biological neurons. But now the modern usage of this term often refers to artificial neural networks which are composed of artificial neurons or nodes. These networks may be used for predictive modelling, adaptive control and applications and learning systems. We offer the live project on Neural Networks and Learning Systems for Mtech and PhD students.

List of articles in category Neural Networks and Learning Systems
No. Project Titles Abstract
1. Robust GRBF Static Neurocontroller With Switch Logic for Control of Robot Manipulators Abstract
2. Adaptive Visual and Auditory Map Alignment in Barn Owl Superior Colliculus and Its Neuromorphic Implementation Abstract
3. Memristor Bridge Synapse-Based Neural Network and Its Learning Abstract
4. Reproducing Kernel Hilbert Space Approach for the Online Update of Radial Bases in Neuro-Adaptive Control Abstract
5. Study on the Impact of Partition-Induced Dataset Shift on $k$-Fold Cross-Validation Abstract
6. Efficient Sparse Modeling With Automatic Feature Grouping Abstract
7. Simple Proof of Convergence of the SMO Algorithm for Different SVM Variants Abstract
8. Approximate Solutions to Ordinary Differential Equations Using Least Squares Support Vector Machines Abstract
9. Online Optimal Control of Affine Nonlinear Discrete-Time Systems With Unknown Internal Dynamics by Using Time-Based Policy Update Abstract
10. Predictive Approach for User Long-Term Needs in Content-Based Image Suggestion Abstract
11. Kernel Recursive Least-Squares Tracker for Time-Varying Regression Abstract
12. SOMKE: Kernel Density Estimation Over Data Streams by Sequences of Self-Organizing Maps Abstract
13. In-Sample and Out-of-Sample Model Selection and Error Estimation for Support Vector Machines Abstract
14. Bidirectional Extreme Learning Machine for Regression Problem and Its Learning Effectiveness Abstract
15. Online Nonnegative Matrix Factorization With Robust Stochastic Approximation Abstract
16. Transductive Ordinal Regression Abstract
17. Toward Automatic Time-Series Forecasting Using Neural Networks Abstract
18. Limit Set Dichotomy and Multistability for a Class of Cooperative Neural Networks With Delays Abstract
19. Relaxed Fault-Tolerant Hardware Implementation of Neural Networks in the Presence of Multiple Transient Errors Abstract
20. Scale-Invariant Amplitude Spectrum Modulation for Visual Saliency Detection Abstract
21. Regularization: A Thresholding Representation Theory and a Fast Solver Abstract
22. VLSI Implementation of a Bio-Inspired Olfactory Spiking Neural Network Abstract
23. Programming Time-Multiplexed Reconfigurable Hardware Using a Scalable Neuromorphic Compiler Abstract
24. Neural Assembly Computing Abstract
25. Generalized SMO Algorithm for SVM-Based Multitask Learning Abstract

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