Neural Processing Letters

We are pleased to announce that Neural Processing Letters will become a fully open access (OA) on 1^st January 2024. As a result, all submissions received from  25^th October 2023 are subject to an article publication charge (APC) if accepted and published in the journal (unless a waiver is applied). Please see our FAQs which can be found at the bottom of this page for more information on APCs, funding options, waivers and the journal's transition to fully open access.

Neural Processing Letters is an international journal that promotes fast exchange of the current state-of-the art contributions among the artificial neural network community of researchers and users. The Journal publishes technical articles on various aspects of artificial neural networks and machine learning systems. Coverage includes novel architectures, supervised and unsupervised learning algorithms, deep nets, learning theory, network dynamics, self-organization, optimization, biological neural network modelling, and hybrid neural/fuzzy logic/genetic systems. The Journal publishes articles on methodological innovations for the applications of the aforementioned systems in classification, pattern recognition, signal processing, image and video processing, robotics, control, autonomous vehicles, financial forecasting, big data analytics, and other multidisciplinary applications.

Journal highlights:

• An international journal publishing state-of-the-art research results and innovative ideas on all aspects of artificial neural networks and machine learning
• Coverage includes theoretical developments, biological models, learning theory, applications, hardware implementation, and more
• Promotes timely exchange of information in the community of neural network researchers and users
• High degree of author satisfaction: 91% of authors who answered a survey reported that they would definitely publish or probably publish in the journal again