IMPACT OF DEFECTS ON MULTILAYER ARTIFICIAL FEEDFORWARD NEURAL NETWORK OPERABILITY

IMPACT OF DEFECTS ON MULTILAYER ARTIFICIAL FEEDFORWARD NEURAL NETWORK OPERABILITY

Impact of buried layer likely defects on the performance of the multilayer feedforward artificial neural network is investigated. Dimensions of estimation of the correct network operation by pattern recognition are offered.

Bibliographic Details
Main Authors:	Daniil V. Marshakov, Vladimir A. Fatkhi
Format:	Article
Language:	Russian
Published:	Don State Technical University 2011-03-01
Series:	Advanced Engineering Research
Subjects:	fault tolerance feedforward neural network artificial recognition indices of correct recognition.
Online Access:	https://www.vestnik-donstu.ru/jour/article/view/706

Similar Items

ARTIFICIAL NEURAL NETWORK FAULT MODEL STUDY
by: Vladimir A. Fatkhi, et al.
Published: (2012-07-01)

Feedforward Neural Network-Based Architecture for Predicting Emotions from Speech
by: Mihai Gavrilescu, et al.
Published: (2019-07-01)

On Partial Groupoids Associated with the Composition of Multilayer Feedforward Neural Networks
by: A.V. Litavrin, et al.
Published: (2024-12-01)

Photonic Synapses for Image Recognition and High Density Integration of Simplified Artificial Neural Networks
by: Yuqing Fang, et al.
Published: (2023-06-01)

Fault diagnosis with neural networks. Part 1: Trajectory recognition
by: Enrique Eduardo Tarifa, et al.
Published: (2007-01-01)

A Generalized Fault Tolerant Control Based on Back EMF Feedforward Compensation: Derivation and Application on Induction Motors Drives
by: Mahdi Tousizadeh, et al.
Published: (2022-12-01)

Constructing a Precise Fuzzy Feedforward Neural Network Using an Independent Fuzzification Approach
by: Hsin-Chieh Wu, et al.
Published: (2021-10-01)

Prediction of Factors for Patients with Hypertension and Dyslipidemia Using Multilayer Feedforward Neural Networks and Ordered Logistic Regression Analysis: A Robust Hybrid Methodology
by: Wan Muhamad Amir W Ahmad, et al.
Published: (2023-08-01)

Combination of thermodynamic knowledge and multilayer feedforward neural networks for accurate prediction of MS temperature in steels
by: Qi Lu, et al.
Published: (2020-07-01)

Competency assessment of biology teaching students of Farhangian University by using artificial intelligence feedforward neural network
by: Vi. Gohari, et al.
Published: (2023-06-01)

On the Reliability Assessment of Artificial Neural Networks Running on AI-Oriented MPSoCs
by: Annachiara Ruospo, et al.
Published: (2021-07-01)

Recognition of Hand Gesture Sequences by Accelerometers and Gyroscopes
by: Yen-Cheng Chu, et al.
Published: (2020-09-01)

Feedforward Controller for Nonlinear Systems Utilizing a Genetically Trained Fuzzy Neural Network
by: Omar Al-Karkhy
Published: (2007-03-01)

Detection of Single and Dual Incipient Process Faults Using an Improved Artificial Neural Network
by: Mahmoud Reza Pishvaie, et al.
Published: (2005-09-01)

Feedforward Control of Electrical Drives - Rules and Limits
by: Michal Malek, et al.
Published: (2011-01-01)

Iris recognition by artificial Elman neural network
by: Mawdah Suleiman
Published: (2012-12-01)

Intelligent rockburst prediction model with sample category balance using feedforward neural network and Bayesian optimization
by: Diyuan Li, et al.
Published: (2022-10-01)

3D Reservoir Geological Modeling Algorithm Based on a Deep Feedforward Neural Network: A Case Study of the Delta Reservoir of Upper Urho Formation in the X Area of Karamay, Xinjiang, China
by: Jianpeng Yao, et al.
Published: (2020-12-01)

Improving the spaceborne GNSS-R altimetric precision based on the novel multilayer feedforward neural network weighted joint prediction model
by: Yiwen Zhang, et al.
Published: (2024-02-01)

An Introduction to Feedforward Control of Electric Drives
by: Michal Malek, et al.
Published: (2010-01-01)

Enhancing human activity recognition for the elderly and individuals with disabilities through optimized Internet-of-Things and artificial intelligence integration with advanced neural networks
by: R. Deeptha, et al.
Published: (2024-11-01)

Feedforward Artificial Neural Network (FFANN) Application in Solid Insulation Evaluation Methods for the Prediction of Loss of Life in Oil-Submerged Transformers
by: Bonginkosi A. Thango
Published: (2022-11-01)

A Selection of Starting Points for Iterative Position Estimation Algorithms Using Feedforward Neural Networks
by: Jaroslaw Sadowski, et al.
Published: (2024-01-01)

Offline handwriting recognition using artificial neural network and Hidden Markov model /
by: 233023 Tay, Yong Haur
Published: (2002)

Recognition of Intergranular Corrosion in AISI 304 Stainless Steel by Integrating a Multilayer Perceptron Artificial Neural Network and Metallographic Image Processing
by: Edgar Augusto Ruelas-Santoyo, et al.
Published: (2024-06-01)

Artificial neural networks and statistical pattern recognition: old and new connections /
by: Sethi, Ishwar K., et al.
Published: (1991)

Skin layer classification by feedforward neural network in bioelectrical impedance spectroscopy
by: Ibrahim Kiagus Aufa, et al.
Published: (2023-08-01)

Towards Accurate Diagnosis of Skin Lesions Using Feedforward Back Propagation Neural Networks
by: Simona Moldovanu, et al.
Published: (2021-05-01)

Simulation and implementation of two-layer oscillatory neural networks for image edge detection: bidirectional and feedforward architectures
by: Madeleine Abernot, et al.
Published: (2023-01-01)

Evaluation of the Performance of Feedforward and Recurrent Neural Networks in Active Cancellation of Sound Noise
by: Mehrshad Salmasi, et al.
Published: (2012-07-01)

The superior fault tolerance of artificial neural network training with a fault/noise injection-based genetic algorithm
by: Feng Su, et al.
Published: (2016-08-01)

Detection of Atrial Fibrillation using a Feedforward Sequential Model
by: Jan Michael Santos, et al.
Published: (2023-12-01)

Deteksi Potensi Menyontek Menggunakan Feedforward Neural Network Pada Ujian Daring
by: Lymanto Hadibrata, et al.
Published: (2024-08-01)

Multiobjective Hyperparameter Optimization of Artificial Neural Networks for Optimal Feedforward Torque Control of Synchronous Machines
by: Niklas Monzen, et al.
Published: (2024-01-01)

Integrating geometries of ReLU feedforward neural networks
by: Yajing Liu, et al.
Published: (2023-11-01)

Feedforward and feedback processes in vision
by: Hulusi eKafaligonul, et al.
Published: (2015-03-01)

Fuzzy inference system enabled neural network feedforward compensation for position leap control of DC servo motor
by: Zhiwen Huang, et al.
Published: (2024-09-01)

Physics-Guided Neural Network-Based Feedforward Control for Seamless Pipe Manufacturing Process
by: Luka Filipović, et al.
Published: (2025-02-01)

A Systematic Approach to Predict the Behavior of Cough Droplets Using Feedforward Neural Networks Method
by: Irfan Bahiuddin, et al.
Published: (2021-02-01)

Radial Basis Function Neural Network and Feedforward Active Disturbance Rejection Control of Permanent Magnet Synchronous Motor
by: Qixun Zhou, et al.
Published: (2024-09-01)