Neural Computing and Applications is an international journal that bridges the gap between theoretical research and practical applications of neural networks and other intelligent computing techniques. This interdisciplinary journal covers a wide range of topics, including machine learning, deep learning, pattern recognition, and data mining, with a strong emphasis on real-world applications.
Key areas of focus include neural network architectures, algorithms, and implementations across diverse domains such as image processing, natural language processing, financial modeling, and industrial automation. The journal aims to foster innovation and knowledge sharing among researchers, engineers, and practitioners in academia and industry.
By providing a platform for high-quality research and practical insights, Neural Computing and Applications contributes to the advancement and adoption of intelligent computing technologies in various sectors.