ML uses inductive inference to generalize correlations between input and output data, subsequently used to make informed decisions in new circumstances. This review aims to critically examine ML as applied to the AD process and provides an in-depth assessment of important algorithms (ANN, ANFIS, ...
2. Concepts of the machine learning models Three machine learning models were considered in this study namely the artificial neural networks (ANN), adaptive neuro-fuzzy inference system (ANFIS), and functional neural networks (FNN). ANN is a computing system that mimics the way of behavior for ...
In a biomedical scenario, machine learning techniques will provide an informed decision making, which will also have positive consequences for the health of patients. It is possible to implement a predictive model from a set of heterogeneous data acquired from diverse patients, which can be used ...
transformation (FFT), Fuzzy logic, and Park's vector analysis. The latest development in artificial intelligence (AI) is 'transfer learning', which can detect failure patterns of different devices. This technique can be used instead of MCSA to find localized anomalies and has been suggested in p...
Figure 1. Pipeline for training ANN/HMM hybrid system 用于训练ANN/HMM混合系统的管道 Several issues about the use of DBNs and ANN/HMMs in ASR need further explorations. These include assessment of the models on large datasets with large language models which are now standard in the community. ...
The aim of the work is to estimate software effort using various machine learning techniques like Artificial Neural Network (ANN), Adaptive Neuro Fuzzy Inference System (ANFIS), and Decision Tree (DT). China dataset of software projects has been used in order to compare the performance results ...
Although the world is shifting toward using more renewable energy resources, combustion systems will still play an important role in the immediate future of global energy. To follow a sustainable path to the future and reduce global warming impacts, it i
The aim of the paper is to... T Baumann,AJ Germond - International Forum on Neural Networks to Power Systems, Annps 被引量: 43发表: 1993年 Application of the generalized regression neural network in short-term load forecasting Cheng.Application of the generalized regression neural network in ...
For the first time, an attempt has been made in this study to adapt machine learning algorithms for predicting women with malnutrition using Bangladesh Demographic Health Survey (BDHS), 2014. The hypothesis of this study is to propose a better system/combination through a multinomial logistic ...
The ANN (Artificial Neural Network), one of the most common approaches in machine learning, is extensively employed in the data processing considering feature engineering, classification, and self-learning adaptation upon inference [59]. In this work, the results of HTCs include thermodynamic and ...