Neural Processing Letters is dedicated to the dissemination of new findings in neural networks and machine learning. Its first 150 characters cover its areas in neural processing and analysis. This includes machine intelligence, cognitive science and pattern recognition.
It publishes letters, short communications, and regular papers. The topics includes neural network architectures, algorithms, and applications in areas such as computer vision, natural language processing, and robotics. Indexed in leading databases, the journal appeals to researchers, engineers, and students in computer science, neuroscience, and related fields. Focuses to neural networks and machine learning.
Neural Processing Letters offers rapid publication of cutting-edge research. Encourages submissions that present novel ideas and significant advancements in neural processing. The journal serves as a forum for the exchange of knowledge and the advancement of intelligent systems and neural models. As an electronic journal, it increases the dissemination of new findings.