On the construction of wavelet network

On the construction of wavelet network

91 p.

Bibliographic Details
Main Author:	Chen, Fei
Other Authors:	Shi Daming
Format:	Thesis
Published:	2011
Subjects:	DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Online Access:	https://hdl.handle.net/10356/47480

Similar Items

Class-based attack on graph convolution network
by: He, HeFei
Published: (2022)

Self-constructing controller for autonomous vehicle
by: Muhammad Amirul Afiq
Published: (2020)

Deep neural networks for identifying causal relations in texts
by: Chen, Siyuan
Published: (2023)

Adversarial example construction against autonomous vehicles
by: Loh, Zhi Heng
Published: (2023)

Adversarial example construction against autonomous vehicle
by: Goh, Ying Ting
Published: (2023)

Deep neural network compression : from sufficient to scarce data
by: Chen, Shangyu
Published: (2021)

Manipulating adaptive processes by constructive training-time attacks
by: Bector, Ridhima
Published: (2024)

Universal adversarial example construction against autonomous vehicle
by: Beh, Nicholas Chee Kwang
Published: (2021)

Real-time helmet wearing determination AI algorithm: construction workplace health and safety
by: Lee, Veatrice Wei Ling
Published: (2022)

Information network analysis for recommendation
by: Pang, Yujin
Published: (2020)

Federated graph neural network
by: Koh, Tat You @ Arthur
Published: (2021)

Spiking neural network for object recognition
by: Li, Wei
Published: (2023)

Investigating vulnerability of watermarking neural network
by: Chua, Viroy Sheng Yang
Published: (2020)

Federated learning for graph neural networks
by: Yan, Yige
Published: (2023)

Benchmarking novel graph neural networks
by: Bhagwat, Abhishek
Published: (2021)

Demystifying adversarial attacks on neural networks
by: Yip, Lionell En Zhi
Published: (2020)

Music generation with generative adversarial network (GAN)
by: Tan, Yi Zhuang
Published: (2021)

Protecting neural networks from adversarial attacks
by: Kwek, Jia Ying
Published: (2020)

Deep neural networks for time series classification
by: Cheng, Wen Xin
Published: (2023)

Neural network pruning for face anti-spoofing
by: Zhang, Yinan
Published: (2022)

An investigation of the application of graph neural networks in recommendation systems
by: Koh, Jaylene Jia Ying
Published: (2023)

Masked face recognition using convolutional neural network
by: Wu, Peihang
Published: (2023)

Deep GRU neural networks for gold price prediction
by: Kuan, Soon Yee
Published: (2023)

Feature selection for classification applications in neural network pruning
by: Gong, Rui
Published: (2024)

Using deep neural networks for chess position evaluation
by: Phang, Benito Yan Feng
Published: (2023)

Adaptation of object detection networks under anomalous conditions
by: Koh, Rachel
Published: (2023)

Network intrusion detection via distributed machine learning on smart gateway network
by: Suleman Khalid Rai
Published: (2017)

Deep neural network compression for pixel-level vision tasks
by: He, Wei
Published: (2021)

Building highly efficient neural networks through weight pruning
by: Low, Xuan Hui
Published: (2022)

Stock trading prediction using deep learning neural networks
by: Ong, Hao Cong
Published: (2021)

Learning capabilities of neural networks
by: Huang, Guangbin.
Published: (2008)

Training deep neural network models for accurate recognition of texts in scenes
by: Lim, Joshen Eng Keat
Published: (2020)

Semi-supervised RVFL-based neural networks for solving classification problems
by: Yao, Cheng Hui
Published: (2021)

Hybrid deep neural network and deep reinforcement learning for algorithmic finance
by: Ooi, Min Hui
Published: (2022)

Implementation of high-performance graph neural network distributed learning framework
by: Lee, Cheng Han
Published: (2023)

Multiplayer networking model in Meme war
by: Lam, Xiao Liang
Published: (2015)

Complementary learning fuzzy neural network
by: Tan, Tuan Zea
Published: (2010)

Predicting chiller system parameters using artificial neural networks : an experimental study
by: Venkatesalu Ishwariya
Published: (2020)

Deep neural networks for spatio-temporal analysis of rs-fMRI in ADHD
by: Abhay Mallikarjun Somaradhya Aradhya
Published: (2022)

Interpretable fuzzy-embedded deep neural network with its application in stock trading
by: Koh, Amadeus Ying Jie
Published: (2023)