A Tensorflow implementation of the Adaptive Neuro-Based Fuzzy Inference System (ANFIS)

Adaptive neuro fuzzy inference system from scratch. All codes inside, no dependency

An Implementation of the State-Adaptive Neuro-Fuzzy Inference System (S-ANFIS) based on Pytorch. Also Repository to my package "sanfis".

A Python implementation of the Differential Evolution algorithm for the optimization of Fuzzy Inference Systems.

Fuzzy based segmentation of remotely sensed images using an Adaptive Neuro Fuzzy Inference System (ANFIS).

🧠 ANFIS Framework (Java) A generic, extensible Java implementation of ANFIS (Adaptive Neuro-Fuzzy Inference System) — combining neural network learning with fuzzy logic interpretability. Supports configurable membership functions and T-norms for building flexible, trainable models.

X-ANFIS: An Extensible and Cross-Learning ANFIS Framework for Machine Learning Tasks

Implementation of ANFIS using the pyTorch framework | PyTorch ANFIS浅析

Developing of a neural system, a Mamdani-type fuzzy inference system and a Sugeno-type fuzzy inference system for the identification of a volunteer position/activity

Base Money (M0) Flow Forecasting Using ANFIS

Java Machine Learning library

Implementation of a Dynamic Hybrid ANFIS-Whales approach for malware detection using generated datasets.

Neuro-fuzzy is a repository focused on implementing Adaptive Neuro Fuzzy Inference System (ANFIS) for two distinct applications: Capacitive Deionization and Power Prediction.

This project implements an Adaptive Neuro-Fuzzy Inference System (ANFIS) model to predict optimal gasoline prices based on historical data and relevant features.

SA im SoSe 2022

Abalone Project using ANFIS

a detailed analysis of AI and ANFIS assisted teleopthalmology using CNN and gaze tracking systems.

🤖 Create your personal AI companion with my-neuro, a customizable model that reflects your vision through your unique data imprint.