Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Analog circuit incipient fault diagnosis method using DBN based features extraction
Correct identifying analog circuit incipient faults is useful to the circuit's health monitoring,
and yet it is very hard. In this paper, an analog circuit incipient fault diagnosis method using …
and yet it is very hard. In this paper, an analog circuit incipient fault diagnosis method using …
Evolving deep convolutional neural networks by quantum behaved particle swarm optimization with binary encoding for image classification
Convolutional neural network (CNN) has proven effective at solving difficult image
classification problems, but it can be challenging to design its architecture. We try to simplify …
classification problems, but it can be challenging to design its architecture. We try to simplify …
Genetic algorithm optimized double-reservoir echo state network for multi-regime time series prediction
In prognostics and health management (PHM), the sensor measurement time series of
equipment is collected, and predicting future sensor measurements accurately is crucial to …
equipment is collected, and predicting future sensor measurements accurately is crucial to …
A novel error-output recurrent neural network model for time series forecasting
It is a well-known fact that improving forecasting accuracy is an important yet often
challenging issue. Extensive research has been conducted using neural networks (NNs) to …
challenging issue. Extensive research has been conducted using neural networks (NNs) to …
Preliminary research on abnormal brain detection by wavelet-energy and quantum-behaved PSO
It is important to detect abnormal brains accurately and early. The wavelet-energy (WE) was
a successful feature descriptor that achieved excellent performance in various applications; …
a successful feature descriptor that achieved excellent performance in various applications; …
Stability for IT2 TS fuzzy systems under alternate event-triggered control
D Xu, S Cheng, H Su - ISA transactions, 2023 - Elsevier
In this paper, an alternate event-triggered control is proposed to achieve stability of interval
type-2 Takagi–Sugeno fuzzy systems. Comparing with the existing literature, this new …
type-2 Takagi–Sugeno fuzzy systems. Comparing with the existing literature, this new …
Identification of time series models using sparse Takagi–Sugeno fuzzy systems with reduced structure
Simplifying fuzzy models, including those for predicting time series, is an important issue in
terms of their interpretation and implementation. This simplification can involve both the …
terms of their interpretation and implementation. This simplification can involve both the …
Learning evolving T–S fuzzy systems with both local and global accuracy–A local online optimization approach
Most real data streams are non-linear and non-stationary by nature, which makes it a
challenging issue to develop effective learning techniques. With the advantages of updating …
challenging issue to develop effective learning techniques. With the advantages of updating …
AT–S fuzzy model identification approach based on evolving MIT2-FCRM and WOS-ELM algorithm
Inter type-2 fuzzy model has been confirmed to be more effective in Takagi–Sugeno (T–S)
fuzzy model identification compared to type-1 fuzzy model. It is indisputable that some …
fuzzy model identification compared to type-1 fuzzy model. It is indisputable that some …
A novel type-2 fuzzy identification method based on the improved membership function
In this paper, a type-2 fuzzy identification method based on the improved membership
function is proposed. First, in order to improve the effect of the noise or outliers for the …
function is proposed. First, in order to improve the effect of the noise or outliers for the …