Chattopadhyay, "Comparative study among different neural net learning algorithms applied to rainfall time series, "Meteorological applicat., vol. 15, no. 2, pp. 273-280, 2008.Chattopadhyay S, Chattopadhyay G (2008) Comparative study among different neural net learning algorithms app...
Automatic Modulation Classification using Different Neural Network and PCA Combinations 来自 dx.doi.org 喜欢 0 阅读量: 128 作者:AKAA B,EE A 摘要: This paper highlights one of the most promising research directions for automatic modulation recognition algorithms, although it does not provide a final...
This, in turn, would require the neural network to "remember" previously encountered information and factor that into future calculations. And the problem of remembering goes beyond videos: For example, manynatural language understandingalgorithms typically deal only with text, but need to recall infor...
Serious research has been conducted on data-driven models to analyze the cumulative production performance of the SAGD process, and one of the most common machine learning methods utilized is the Artificial Neural Network (ANN). It is important to test other machine learning methods like Extreme ...
Experimental results show a comparison between a number of optimisation algorithms in performing nonlinear mapping. Nonlinear mapping methods were designed to perform mapping on datasets that contain a small number of data points. To map large datasets, such as fault management systems in ...
Recent advances have led to the development of brain-inspired algorithms and models for machine vision. One of the key components of these methods is the utilization of the computational principles underlying biological neurons. Additionally, advanced experimental neuroscience techniques have generated ...
Neural network adaptive algorithm applied to high resolution C-band SAR images for soil moisture retrieval in bare and vegetated areas In general algorithms for soil moisture retrieval from high resolution satellite data cannot be easily extended to areas where they have not been calibrate... C Not...
using different input variables, such as hole diameter, burden, stemming length, rock density, charge-per-meter, powder factor (PF), blast-ability index (BI), and weathering index datasets using hybrid ANN approaches. This study used an ANN technique with Bayesian Regularization algorithms to...
FPGA implementation of deep learning model utilizing different normalization algorithms for COVID-19 diagnosis 来自 EBSCO 喜欢 0 阅读量: 2 作者:Zirekgür, Merve,Karakaya, Bar 摘要: Normalization is utilized to remove outliers from the dataset and address network bias. In this research, MeanVariance...
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