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About us:

Welcome to the Journal on Neural Networks (JNN), a premier publication dedicated to advancing the frontier of neural network research. Our journal serves as a hub for researchers, scholars, and practitioners to explore the latest developments, methodologies, and applications in the dynamic field of neural networks.

Our Mission:

At the Journal on Neural Networks (JNN), our mission is to facilitate the dissemination of cutting-edge research and foster interdisciplinary collaboration in the field of neural networks. We strive to publish high-quality, peer-reviewed articles that contribute significant insights and innovations to the broader scientific community.

Scope of the Journal:

The Journal on Neural Networks (JNN) welcomes submissions encompassing a wide range of topics, including:

  • Novel neural network architectures and algorithms
  • Deep learning techniques and methodologies
  • Computational neuroscience and biologically inspired models
  • Applications of neural networks in machine learning, pattern recognition, computer vision, natural language processing, robotics, healthcare, finance, and more.

We encourage interdisciplinary research that integrates insights from diverse fields to address complex challenges and push the boundaries of neural network theory and practice.

Editorial Excellence:

Our journal boasts a distinguished editorial board comprising leading experts and researchers in neural networks and related fields. Our editorial team is committed to maintaining the highest standards of scientific integrity and rigor throughout the peer review process. We provide constructive feedback and guidance to authors, ensuring the quality and relevance of published articles.

Open Access Policy:

The Journal on Neural Networks (JNN) is an open-access publication, dedicated to promoting the free exchange of knowledge and ideas. All articles published in our journal are freely accessible to researchers, academics, and practitioners worldwide, fostering collaboration and innovation in neural network research.

Join Our Community:

Whether you are a seasoned researcher, emerging scholar, or industry professional, we invite you to become part of our vibrant community. Explore our latest research articles, contribute your insights, and engage in scholarly discourse to advance the field of neural networks collectively.

Contact Us:

For inquiries, submissions, or collaboration opportunities, please feel free to contact us. We value your input and look forward to working together to further the frontiers of neural network research.

Thank you for choosing the Journal on Neural Networks (JNN) as your platform for academic exploration and dissemination of knowledge.