# Selective-transfer-learning-based-on-tensor-representation

**Repository Path**: frontxiang/Selective-transfer-learning-based-on-tensor-representation

## Basic Information

- **Project Name**: Selective-transfer-learning-based-on-tensor-representation
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2024-02-04
- **Last Updated**: 2024-02-04

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Selective-transfer-learning-based-on-tensor-representation
1)environment configuration: miney.1.2.6 , tensorly;
2)dataset introduction: XJTU-SY dataset and PHM Challenge 2012 dataset (we only use the fast degradation data);
3)dataset includes reading data, making labels and dividing data;
4)model includes based model(LSTM,CNN...), deal parameters and transferibility calculation;
5)run Classifier.py，training a class model;
6)run prelstm.py,  it is a main code;