Prostate cancer classification from prostate biomedical data using ant rough set algorithm with radial trained extreme learning neural network
Sign Up to like & getrecommendations! Published in 2018 at "Health and Technology"
DOI: 10.1007/s12553-018-0279-6
Abstract: Prostate cancer is commonly occurs in prostate that affects small walnut and generates the seminal fluid for men. This disease is happening due to urinating trouble, blood semen, bone pain, stream of urine other harmful… read more here.
Keywords: prostate; prostate cancer; biomedical data; prostate biomedical ... See more keywords
Deep associative learning for neural networks
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2021.03.012
Abstract: Abstract Neural learning plays an important role in many applications. In this paper, we derive a new learning paradigm for neural networks. Most existing neural models train network parameters including connecting weights and biases via… read more here.
Keywords: associative learning; neural networks; deep associative; learning neural ... See more keywords
Reinforcement Learning with Neural Networks for Quantum Feedback
Sign Up to like & getrecommendations! Published in 2018 at "Physical Review X"
DOI: 10.1103/physrevx.8.031084
Abstract: Machine learning with artificial neural networks is revolutionizing science. The most advanced challenges require discovering answers autonomously. This is the domain of reinforcement learning, where control strategies are improved according to a reward function. The… read more here.
Keywords: network based; neural networks; physics; reinforcement learning ... See more keywords
Self-Supervised Learning of Neural Speech Representations From Unlabeled Intracranial Signals
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3230688
Abstract: Neuroprosthetics have demonstrated the potential to decode speech from intracranial brain signals, and hold promise for one day returning the ability to speak to those who have lost it. However, data in this domain is… read more here.
Keywords: speech; learning neural; supervised learning; neural speech ... See more keywords
Nonlinear Control System with Reinforcement Learning and Neural Networks Based Lyapunov Functions
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Latin America Transactions"
DOI: 10.1109/tla.2021.9475855
Abstract: This paper deals with the problem of finding the control Lyapunov function that keeps the system stable. To find the Lyapunov function, this paper proposes the use of reinforcement learning with two neural networks based… read more here.
Keywords: based lyapunov; control; reinforcement learning; neural networks ... See more keywords
DeepLogic: Joint Learning of Neural Perception and Logical Reasoning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2022.3191093
Abstract: Neural-symbolic learning, aiming to combine the perceiving power of neural perception and the reasoning power of symbolic logic together, has drawn increasing research attention. However, existing works simply cascade the two components together and optimize… read more here.
Keywords: neural perception; joint learning; learning neural; logical reasoning ... See more keywords
Construction and Research on Chinese Semantic Mapping Based on Linguistic Features and Sparse Self-Learning Neural Networks
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/2315802
Abstract: In this paper, we adopt the algorithms of linguistic feature Rong and sparse self-learning neural network to conduct an in-depth study and analysis of Chinese semantic mapping, which complements the emotion semantic representation ability of… read more here.
Keywords: self learning; chinese semantic; learning neural; sparse self ... See more keywords
Forging a deep learning neural network intrusion detection framework to curb the distributed denial of service attack
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Electrical and Computer Engineering"
DOI: 10.11591/ijece.v11i2.pp1498-1509
Abstract: Today’s popularity of the internet has since proven an effective and efficient means of information sharing. However, this has consequently advanced the proliferation of adversaries who aim at unauthorized access to information being shared over… read more here.
Keywords: neural network; distributed denial; denial service; deep learning ... See more keywords
Deep Learning Neural Network Prediction Method Improves Proteome Profiling of Vascular Sap of Grapevines during Pierce’s Disease Development
Sign Up to like & getrecommendations! Published in 2020 at "Biology"
DOI: 10.3390/biology9090261
Abstract: Plant secretome studies highlight the importance of vascular plant defense proteins against pathogens. Studies on Pierce’s disease of grapevines caused by the xylem-limited bacterium Xylella fastidiosa (Xf) have detected proteins and pathways associated with its… read more here.
Keywords: pierce disease; network prediction; deep learning; disease ... See more keywords
Noncoding RNAs and Deep Learning Neural Network Discriminate Multi-Cancer Types
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DOI: 10.3390/cancers14020352
Abstract: Simple Summary Imprecision and biases inherited in current cancer detection innovations hamper their applications at population level. Here, we employ deep learning neural networks and noncoding RNA biomarkers to develop an accurate cancer detection system… read more here.
Keywords: cancer; system; deep learning; learning neural ... See more keywords
Analysis of Deep Learning Neural Networks for Seismic Impedance Inversion: A Benchmark Study
Sign Up to like & getrecommendations! Published in 2022 at "Energies"
DOI: 10.3390/en15207452
Abstract: Neural networks have been applied to seismic inversion problems since the 1990s. More recently, many publications have reported the use of Deep Learning (DL) neural networks capable of performing seismic inversion with promising results. However,… read more here.
Keywords: neural networks; inversion; learning neural; seismic inversion ... See more keywords