Tools
Fuzzy Cognitive Maps python library (FCMPL) for decision-making, Root Cause Analysis, Regression, and Classification
- FCM construction (manual construction based on Experts, and automatic construction based on input data). Visualization of the constructed FCM with nodes and weighted arcs.
- FCM learning (Evolutionary and Hebbian algorithms)
- FCM inference (Kosko, Stylios and Rescaled).
DeepK-FCM python library
A tool that combines state-of-the-art Convolutional Neural Networks for feature extraction and feature selection, algorithms for feature clustering, and Fuzzy Cognitive Maps for feature classification.
DeepC-FCM python library.
A library that includes the application of Convolutional Neural Networks for feature extraction of images and Fuzzy Cognitive Maps learning for classification of instances.
Explainable Image Classification python library.
A library that utilizes state-of-the-art Convolutional Neural Networks, and Post-Hoc explainability methods such as Grad-CAM and DeepSHAP for image classification.
ADDL (Anomaly Detection Deep Learning) python library
A python library that utilizes autoencoder neural network architectures for anomaly detection.