Aim:

The Journal of Neural Computing and Intelligent Research (JNCIR) is an international platform for researchers, academicians, and industry professionals to publish high-quality and original research work in the areas of neural computing, artificial intelligence, and intelligent systems. The journal concentrates on the development of theoretical advancements and applications of computational intelligence techniques. The journal also gives importance to the solution of complex real-world problems. JNCIR promotes interdisciplinary research work that fills the gap between theory and applications through innovative algorithms, adaptive learning models, and intelligent technologies.

Scope:

The scope of JNCIR includes a wide array of interdisciplinary research work associated with neural computing and intelligent systems. The journal aims at the development and application of intelligent technologies by incorporating ideas from computational neuroscience, machine learning, deep learning, fuzzy logic, soft computing, cognitive computing, and artificial intelligence. JNCIR invites research work that incorporates algorithmic development, adaptive learning methods, and applications of intelligent systems.

The scope of the journal includes, but is not limited to, the following areas:

Major Topics:

• Neural Networks
• Deep Learning
• Algorithms and Applications
• Reinforcement Learning
• Cognitive Computing
• Swarm Intelligence
• Pattern Recognition
• Image Processing
• Natural Language Processing
• Signal Processing
• Robotics and Autonomous Systems
• Data Mining
• Knowledge Discovery
• Bio-inspired Computing
• Optimization Techniques

Authors are invited to submit original research articles, comprehensive reviews, and innovative methodologies that contribute significantly to the advancement of the field.