The original signal and NF data for the continuous spectrum are complex-valued functions. Therefore, two networks with the same architecture are to be used for the whole transformation; each identical part is responsible for the computation of either the real or imaginary parts of the resulting ar...
Real-time computing without stable states: a new framework for neural computation based on perturbations. Neural Comput. 14, 2531–2560 (2002). PubMed Google Scholar Sussillo, D. & Abbott, L. F. Generating coherent patterns of activity from chaotic neural networks. Neuron 63, 544–557 (...
Williams, P M
neural networks, including deep learning and related approaches to artificial intelligence and machine learning. Neural Networks welcomes submissions that contribute to the full range of neural networks research, from cognitive modeling and computational neuroscience, through deep neural networks and ...
《神经计算与应用》(Neural Computing & Applications)是一本以工程技术-计算机:人工智能综合研究为特色的国际期刊。该刊由Springer London出版商创刊于1993年,刊期Quarterly。该刊已被国际重要权威数据库SCIE收录。期刊聚焦工程技术-计算机:人工智能领域的重点研究和前沿进展,及时刊载和报道该领域的研究成果,致力于成为该领...
https://link.springer.com/journal/521 Factor de Impacto: 4.500 Editor: Springer ISSN: 0941-0643 Vistas: 23318 Seguidores: 9 Solicitud de Artículos Aims and scope Neural Computing & Applications is an international journal which publishes original research and other information in the field of pract...
artificial neural networks (ANN), adaptive-neuro fuzzy inference systems (ANFIS), support vector machines (SVMs), decision trees, and evolutionary computing, among others. These techniques have proven effective in decision-making and control actions, supporting secure and stable operation of power syste...
-adaptive computing- algorithms- applicable neural networks theory- applied statistics- architectures- artificial intelligence- benchmarks- case histories of innovative applications- fuzzy logic- genetic algorithms- hardware implementations- hybrid intelligent systems- ...
Functional networks with up to 2 post-synaptic neurons are shown, supporting parallel neuromorphic computing and enabling future vision machines such as artificial retinas. Results Synaptic STDP characteristics Figure 1a shows the individual building block at the basis of any neural network, namely a ...
Deep neural networks in low energy algorithms for wireless sensor networks Libin Jia Journal of Ambient Intelligence and Humanized Computing(2024) Generative deep learning for data generation in natural hazard analysis: motivations, advances, challenges, and opportunities ...