Home ›
Entities
› academia
› Investigation and Comparison of Generalization Ability of Multi-Layer Perceptron and Radial Basis Function Artificial Neural Networks for Signal Power Loss Prediction
Investigation and Comparison of Generalization Ability of Multi-Layer Perceptron and Radial Basis Function Artificial Neural Networks for Signal Power Loss Prediction
Research article (International Journal on Communications Antenna and Propagation (IRECAP), 2019) · cited 10× · AI/ML
Investigation and Comparison of Generalization Ability of Multi-Layer Perceptron and Radial Basis Function Artificial Neural Networks for Signal Power Loss Prediction
Summary
Investigation and Comparison of Generalization Ability of Multi-Layer Perceptron and Radial Basis Function Artificial Neural Networks for Signal Power Loss Prediction is a scholarly article[1].
Key Facts
Investigation and Comparison of Generalization Ability of Multi-Layer Perceptron and Radial Basis Function Artificial Neural Networks for Signal Power Loss Prediction's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Investigation and Comparison of Generalization Ability of Multi-Layer Perceptron and Radial Basis Function Artificial Neural Networks for Signal Power Loss Prediction. Retrieved May 24, 2026, from https://4ort.xyz/entity/investigation-and-comparison-of-generalization-ability-of-multi-layer-perceptron-and-radial-basis-function-artificial-ne
MLA“Investigation and Comparison of Generalization Ability of Multi-Layer Perceptron and Radial Basis Function Artificial Neural Networks for Signal Power Loss Prediction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/investigation-and-comparison-of-generalization-ability-of-multi-layer-perceptron-and-radial-basis-function-artificial-ne.
BibTeX@misc{4ortxyz_investigation-and-comparison-of-generalization-ability-of-multi-layer-perceptron-and-radial-basis-function-artificial-ne_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Investigation and Comparison of Generalization Ability of Multi-Layer Perceptron and Radial Basis Function Artificial Neural Networks for Signal Power Loss Prediction}}, year = {2026}, url = {https://4ort.xyz/entity/investigation-and-comparison-of-generalization-ability-of-multi-layer-perceptron-and-radial-basis-function-artificial-ne}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Investigation and Comparison of Generalization Ability of Multi-Layer Perceptron and Radial Basis Function Artificial Neural Networks for Signal Power Loss Prediction — https://4ort.xyz/entity/investigation-and-comparison-of-generalization-ability-of-multi-layer-perceptron-and-radial-basis-function-artificial-ne (retrieved 2026-05-24)
