封面圖片

Designing the network topology of feedforward neural network for scene illumination classification

Determining the topology of network as one of the objectives of ANN systems, is not following any certain rules or algorithms but still there are several hints which help us to restrict the neural network architecture set. Hence, the process of testing structures will be the solution of finding most...

Saved in:

書目詳細資料
Main Authors:	Hesamian, Mohammad Hesam, Mashohor, Syamsiah, Saripan, M. Iqbal, Wan Adnan, Wan Azizun
格式:	Article
語言:	English
出版:	American Scientific Publishers 2017
在線閱讀:	http://psasir.upm.edu.my/id/eprint/61307/1/Designing%20the%20network%20topology%20of%20feedforward%20neural%20network%20for%20scene%20illumination%20classification.pdf http://psasir.upm.edu.my/id/eprint/61307/
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

相似書籍

Scene illumination classification using illumination histogram analysis and neural network
由: Hesamian, Mohammad Hesam, et al.
出版: (2013)

Performance of various training algorithms on scene illumination classification
由: Hesamian, Mohammad Hesam, et al.
出版: (2015)

Scene illumination classification based on histogram quartering of CIE-Y component
由: Hesamian, Mohammad Hesam
出版: (2014)

Application of feedforward neural network for the classification of pathological voices
由: Sazali, Yaacob, Prof. Dr., et al.
出版: (2011)

Classification of vehicle noise comfort level using feedforward neural network
由: Paulraj, Murugesa Pandiyan, Assoc. Prof. Dr., et al.
出版: (2012)

Separable recursive training algorithms for feedforward neural networks
由: Asirvadam , Vijanth Sagayan, et al.
出版: (2002)

Comparison of ensemble simple feedforward neural network and deep learning neural network on phishing detection
由: Gan Kim Soon, et al.
出版: (2020)

Speech emotion recognition using deep feedforward neural network
由: Alghifari, Muhammad Fahreza, et al.
出版: (2018)

Particle swarm optimization feedforward neural network for modeling runoff
由: Kuok, K. K., et al.
出版: (2010)

Training feedforward neural networks for fault diagnosis of ball bearing
由: Tuan Abdul Rahman, Tuan Ahmad Zahidi, et al.
出版: (2018)

Dynamic unsupervised feedforward neural network clustering / Roya Asadi
由: Roya, Asadi
出版: (2016)

A deep feedforward neural network model for image prediction
由: Lee, C. C., et al.
出版: (2021)

Effective marker-based augmented reality scene illumination
由: Sunar , Mohd. Shahrizal
出版: (2013)

Comparing forecasting performances between multilayer feedforward neural network and recurrent neural network in Malaysia's load
由: Mohamed, Norizan, et al.
出版: (2010)

A CIMB Stock Price Prediction Case Study with Feedforward Neural Network and Recurrent Neural Network
由: Kim Soon Gan, et al.

Simulation of ammoniacal nitrogen effluent using feedforward multilayer neural networks
由: Jami, Mohammed Saedi, et al.
出版: (2011)

PARTICLE SWARM OPTIMIZATION IN FEEDFORWARD NEURAL NETWORKS FOR RAINFALL-RUNOFF SIMULATION
由: Kuok, King Kuok, et al.
出版: (2024)

Suspense scene detection using recurrent neural network
由: Lim, Sin Hui
出版: (2021)

Robust combining methods in committee neural networks
由: Kenari, Seyed Ali Jafari, et al.
出版: (2011)

Comparative study on hyperspectral image enhancement for low illumination outdoor scenes images
由: Quan, Lee Yong, et al.
出版: (2022)

DESIGN AND DEVELOPMENT OF A SCENE RECOGNITION SYSTEM USING NEURAL NETWORK MODELS
由: Ong, Hui Xin
出版: (2020)

Convolutional neural network for face recognition with pose and illumination variation
由: Ahmad Radzi, Syafeeza, et al.
出版: (2014)

Integration of feedforward neural network and finite element in the draw-bend springback prediction
由: Jamli, Mohamad Ridzuan, et al.
出版: (2013)

Development of intrusion detection system using residual feedforward neural network algorithm
由: Rustam, Rushendra, et al.
出版: (2022)

Forecasting sunspot numbers with Feedforward Neural Networks (FNN) using 'sunspot neural forecaster' system
由: Reza Ezuan, Samin, et al.
出版: (2011)

Artificial neural network approach in radar target classification
由: Ibrahim, N. K., et al.
出版: (2009)

Committee neural networks with fuzzy genetic algorithm.
由: Jafari , S.A., et al.
出版: (2011)

University program selection using Feedforward Neural Network (FFNN) / Hazawani Yusoh @ Harun
由: Yusoh @ Harun, Hazawani
出版: (2010)

Stochastic numerical treatment for solving Falkner–Skan equations using feedforward neural networks
由: Ahmad, Iftikhar, et al.
出版: (2017)

Prostate cancer prediction using feedforward neural network trained with particle swarm optimizer
由: Jui, Julakha Jahan, et al.
出版: (2022)

Motion pattern-based scene classification using adaptive synthetic oversampling and fully connected deep neural network.
由: Mohammed, Mohammed Sultan, et al.
出版: (2023)

Neural network based for automatic vehicle classification in forward scattering radar
由: Raja Abdullah, Raja Syamsul Azmir, et al.
出版: (2007)

Artificial neural network for modelling rainfall-runoff
由: Tayebiyan, Aida, et al.
出版: (2016)

Pruned committee neural network based on accuracy and diversity trade-off for permeability prediction
由: Kenari, Seyed Ali Jafari, et al.
出版: (2014)

ERNN: A biologically inspired feedforward neural network to discriminate emotion from EEG signal
由: Khosrowabadi, Reza, et al.
出版: (2014)

Training feedforward neural networks using hybrid particle swarm optimization and gravitational search algorithm
由: Mirjalili, Seyed Ali, et al.
出版: (2012)

Performance comparison of feedforward neural network training algorithms in modeling for synthesis of polycaprolactone via biopolymerization
由: Wong, Yong Jie, et al.
出版: (2018)

Hourly rainfall-runoff modeling using particle swamp optimization feedforward neural network (PSONN)
由: Kuok, King Kuok, et al.
出版: (2009)

A systematic approach to predict the behavior of cough droplets using feedforward neural networks method
由: Bahiuddin, I., et al.
出版: (2021)

Transformer health index prediction using feedforward neural network according to scoring and ranking method
由: Salim, Nur Ashida, et al.
出版: (2021)