Neural network-based research is a wide and potential domain. Discover a wide source of neural network topics from our team experts where we share the topics by referring reputable journal of that current year. Topic selection assistance team in matlabprojects.org work 24/7 basis to benefit scholars. All areas of 5 neural network topics are covered by us.

Here, we list out various concepts and fields that are recently trend or previously important in neural network-related project:

Basic Neural Network Architectures:

• Convolutional Neural Networks (CNN)
• Long Short-Term Memory Networks (LSTM)
• Multilayer Perceptrons (MLP)
• Recurrent Neural Networks (RNN)
• Gated Recurrent Units (GRU)
• Autoencoders
• Variational Autoencoders (VAE)
• Generative Adversarial Networks (GAN)

Learning Methods:

• Supervised Learning
• Unsupervised Learning
• Semi-supervised Learning
• Federated Learning
• Reinforcement Learning
• Transfer Learning
• Sparse Learning
• Ensemble Learning
• Curriculum Learning

Network Analysis & Interpretation:

• Explainable AI (XAI)
• Adversarial Instances & Effectiveness
• Neural Architecture search (NAS)
• Feature visualization
• Neural network Pruning

Optimization & Training Methods:

• Backpropagation and its Variants
• Batch Normalization
• Meta-Learning
• Gradient Descent Variants (Adam, SGD, RMSprop)
• Learning Rate Scheduling
• Regularization Methods (L1, L2, Dropout)

Advanced Neural Network Frameworks:

• Graph Neural Networks (GNNs)
• Energy-Based Models (EBM)
• Capsule Networks
• Quantum Neural Networks
• Attention Mechanisms & Transformers
• Spiking Neural Networks

Neural Network Applications:

• Natural Language Processing (NLP)
• Reinforcement Learning methods for Robotics & Games
• Clinical Diagnosis & Healthcare
• Anomaly Identification in Network Security
• Recommendation Framework
• Image & Video Recognition
• Speech recognition & Synthesis
• Automatic Vehicles & Advanced Driver-Assistance Systems (ADAS)
• Predictive Analytics in Business & Finance

Hardware for Neural Networks:

• Neuromorphic Computing
• Edge AI & Mobile Deployment
• GPU & TPU Computing
• Quantum Computing for Neural Networks

Moral & Societal Suggestions:

• Privacy in Machine Learning (Differential privacy)
• AI & Implementation
• Fairness and Bias in AI
• AI in Surveillance and Civil Rights
• Neural Network Security and Safety

Neural Networks Theoretical Foundations:

• Information Bottleneck Theory
• Deep Learning Generalization and Dynamics
• Universal Approximation Theorem
• Neural Tangent Kernel (NTK)

Evolving Trends:

• Cross-Modal and Multimodal Learning
• Self-Supervised Learning
• Continual Learning / Lifelong Learning
• Few-Shot and Zero-Shot Learning
• Synthetic Data Generation

The neural network-based research is interactive, designing on cognitive science, engineering, physics, computer science, statistics and mathematics. Since the domain emerged, through the theoretical innovations, technical development and the continuous emerging of applications, we experience the arrival of novel concepts and enhancing of previous ones.  Be confident while working with us we promise you that our neural network topic will stand as a boon for your research.

What is the topic of neural network?

Struggling with the topic on neural network we provide topic consultation along with base paper selection and problem statement. We do guarantee support with unlimited explanations of the key aspects. Tailored topics as per your areas of interest will be shared and developed.

1. Large Memory Capacity in Chaotic Artificial Neural Networks: A View of the Anti-Integrable Limit
2. On the bound of the approximation capacity of multi-layer neural network
3. Multiperiodicity of Discrete-Time Delayed Neural Networks Evoked by Periodic External Inputs
4. A cognitively-based neural network for determining paragraph coherence
5. Zhang Neural Network Versus Gradient Neural Network for Solving Time-Varying Linear Inequalities
6. Backpropagation learning in analog T-Model neural network hardware
7. A novel approach to electrical load forecasting based on a neural network
8. An approximate equivalence neural network to conventional neural network for the worst-case identification and control of nonlinear system
9. A neural network approach to on-line identification of non-linear systems
10. A general framework for symbol and rule extraction in neural networks
11. Estimation of a posteriori probability using neural network
12. Delay-Dependent Stability for Recurrent Neural Networks With Time-Varying Delays
13. Evolutionary stable and unstable strategies in neural networks
14. Bond rating formulas derived through simplifying a trained neural network
15. A step towards the frontier between one-hidden-layer and two-hidden-layer neural networks
16. A low-bit learning algorithm for digital multilayer neural networks applied to pattern recognition
17. Global exponential convergence of Cohen-Grossberg neural networks with time delays
18. Weaknesses and drawbacks of a password authentication scheme using neural networks for multiserver architecture
19. Analysis of Continuous Attractors for 2-D Linear Threshold Neural Networks
20. On the associative memory design for the Hopfield neural network