State-of-the-art in artificial neural network applications: A survey
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Summary
The study found that neural-network models such as feedforward and feedback propagation artificial neural networks are performing better in its application to human problems and proposed feedforwardand feedback propagation ANN models for research focus based on data analysis factors like accuracy, processing speed, latency, fault tolerance, volume, scalability, convergence, and performance.
- Type
- review
- Published
- 2018-11-01
- Cited by
- 2,668
- References
- 218
- Access
- Open access
- OpenAlex
- https://openalex.org/W2901312569
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:54458990
Keywords
Artificial neural network, State (computer science), Artificial intelligence, Computer science, Data science
References
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- Agricultural data prediction by means of neural network
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- ANN based Process Control in Manufacturing
- A Brief History of Connectionism
- Deep Regression for Face Alignment
- Anomaly detection in thermal power plant using probabilistic neural network
- A hybrid artificial neural network for voltage security evaluation in a power system
- Neural network approach to forecast the state of the Internet of Things elements
- Intrusion Detection System Using Bagging Ensemble Method of Machine Learning
- Information security: Artificial immune detectors in neural networks
- Neural network based attack on a masked implementation of AES
- Lightweight and cost-effective MPEG video encryption
- Neural Networks and Learning Machines
- Packet filtering by artificial neural network
- Kalman Filtering and Neural Networks
- Neuronlike adaptive elements that can solve difficult learning control problems
- Neural networks for sensor fusion in remote sensing
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- Glomerular Filtration Rate Estimation by a Novel Numerical Binning-Less Isotonic Statistical Bivariate Numerical Modeling Method
- Achieving Neuroplasticity in Artificial Neural Networks through Smart Cities
- Long-Term Adaptivity in Distributed Intelligent Systems: Study of ViaBots in a Simulated Environment
- A Feed-Forward and Pattern Recognition ANN Model for Network Intrusion Detection
- Artificial Neural Network Analysis of Spontaneous Preterm Labor and Birth and Its Major Determinants
- A multilayered semantic framework for integrated forensic acquisition on social media
- Analysis of color image features extraction using texture methods
- ANN-Based Thermal Load Prediction Approach for Advanced Controls in Building Energy Systems
- Identification of nutrient deficiency in bean plants by prompt chlorophyll fluorescence measurements and Artificial Neural Networks
- Motion Prediction of Surrounding Vehicles in Highway Scenarios With Deep Learning
- Exponential stability of positive neural networks in bidirectional associative memory model with delays
- Surrogate-based optimization for reduction of contagion susceptibility in financial systems
- Development of a predictive model for estimating the specific heat capacity of metallic oxides/ethylene glycol-based nanofluids using support vector regression
- Remote Sensing: An Advanced Technique for Crop Condition Assessment
- ATLASLang NMT: Arabic text language into Arabic sign language neural machine translation
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