Results 51 to 60 of about 9,482,218 (334)
Dynamic versus static neural network model for rainfall forecasting at Klang River Basin, Malaysia [PDF]
Hydrology and Earth System Sciences, 2012 Rainfall is considered as one of the major components of the hydrological process; it takes significant part in evaluating drought and flooding events. Therefore, it is important to have an accurate model for rainfall forecasting.
A. El-Shafie +4 more
doaj +1 more source
Attention Multilayer Perceptron Fusion Network
IEEE Access, 2023 With the rise of downstream image tasks, the requirements for the quality of images obtained upstream are becoming higher and higher. In view of the many structural features of remote sensing images, we propose a novel deep neural network architecture ...
Yuhua Wang +3 more
doaj +1 more source
Theory and applications of artificial neural networks [PDF]
, 1991 In this thesis some fundamental theoretical problems about artificial neural networks and their application in communication and control systems are discussed.
Chen, J, Chen, Jian-Rong
core
Advanced Functional Materials, EarlyView.Sodium alginate regulates interfacial ion transport and retention in electrolyte‐gated synaptic transistors. The carboxylate‐rich polymeric network forms a dynamic interfacial ion‐diffusion barrier that facilitates ion injection during programming while suppressing ion back‐diffusion, thereby stabilizing the electrochemically doped channel state.
Chaeyeon Han +6 more
wiley +1 more source
Performance Metrics for State-Based Imitation Learning
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2021 We propose five new domain-independent metrics for evaluating and comparing performance at imitating a state-based expert. We use two agents in the RoboCup environment to compare the performance metrics: an agent based on a Multi-Layer Perceptron (MLP ...
Mohamed Zalat, Babak Esfandiari
doaj +1 more source
, 2021 This research aims to develop an analysis model for diseases of the water buffalo with the application of the feature selection technique along with the Multi-Layer Perceptron Neural Network (MLP-NN).
S. Nuanmeesri, W. Sriurai
semanticscholar +1 more source
Multi-step learning rule for recurrent neural models: an application to time series forecasting [PDF]
, 2001 Multi-step prediction is a difficult task that has attracted increasing interest in recent years. It tries to achieve predictions several steps ahead into the future starting from current information.
Galván, Inés M. +3 more
core +1 more source
An Adaptive Inhibitory WSe2 Transistor for Retinomorphic In‐Sensor Image Processing
Advanced Functional Materials, EarlyView.Conventional retinomorphic devices typically require deliberate gate‐bias tuning for each illumination condition. In this paper, we demonstrate an adaptive inhibitory WSe2 transistor that uses photo‐induced regime shift between the subthreshold and accumulation modes to achieve decision‐free, intensity‐adaptive image processing within a single pixel ...
Juhwan Baek +12 more
wiley +1 more source
Evolutionary cellular configurations for designing feed-forward neural networks architectures [PDF]
, 2001 Proceeding of: 6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001 Granada, Spain, June 13–15, 2001In the recent years, the interest to develop automatic methods to determine appropriate architectures of feed-forward ...
Gutiérrez Sánchez, Germán +6 more
core +1 more source
Advanced Healthcare Materials, EarlyView.Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei +9 more
wiley +1 more source