[HTML][HTML] Increasing the explainability and trustiness of Wang–Mendel fuzzy system for classification problems
K Łapa - Applied Soft Computing, 2024 - Elsevier
Fuzzy systems are the perfect systems for knowledge representation-the fuzzy rules on
which they are based can be interpreted and explained during the presentation of the …
which they are based can be interpreted and explained during the presentation of the …
Multipopulation nature-inspired algorithm (MNIA) for the designing of interpretable fuzzy systems
The solutions proposed in this article are based on our experience with fuzzy systems (FSs),
their interpretability, and population-based algorithms (PBAs). They provide a consistent …
their interpretability, and population-based algorithms (PBAs). They provide a consistent …
Fast conjugate gradient algorithm for feedforward neural networks
J Bilski, J Smoląg - International Conference on Artificial Intelligence and …, 2020 - Springer
The conjugate gradient (CG) algorithm is a method for learning neural networks. The highest
computational load in this method is directional minimization. In this paper a new …
computational load in this method is directional minimization. In this paper a new …
Modification of learning feedforward neural networks with the BP method
J Bilski, J Smoląg, P Najgebauer - International Conference on Artificial …, 2021 - Springer
The backpropagation (BP) algorithm is a worldwide used method for learning neural
networks. The BP has a low computational load. Unfortunately, this method converges …
networks. The BP has a low computational load. Unfortunately, this method converges …
A novel explainable recommender for investment managers
T Rutkowski, R Nielek, D Rutkowska… - … Conference on Artificial …, 2020 - Springer
This paper presents a novel recommendation system for investment managers using real
data from asset management companies. The recommender can be viewed as a fuzzy …
data from asset management companies. The recommender can be viewed as a fuzzy …
Nonlinear fuzzy modelling of dynamic objects with fuzzy hybrid particle swarm optimization and genetic algorithm
Ł Bartczuk, P Dziwiński, P Goetzen - … 12-14, 2020, Proceedings, Part I 19, 2020 - Springer
Algorithms based on populations are a very popular family of methods for solving
optimization problems. One of the more frequently used representatives of this group is the …
optimization problems. One of the more frequently used representatives of this group is the …
A New Algorithm with a Line Search for Feedforward Neural Networks Training
J Bilski, B Kowalczyk, JM Żurada - International Conference on Artificial …, 2020 - Springer
A new algorithm for feedforward neural networks training is presented. Its core is based on
the Givens rotations and QR decomposition (GQR) with an application of a line search …
the Givens rotations and QR decomposition (GQR) with an application of a line search …
Novel Explainable Recommenders Based on Neuro-Fuzzy Systems
T Rutkowski - Explainable Artificial Intelligence Based on Neuro …, 2021 - Springer
In this chapter, three novel recommenders are proposed, denoted as:“Recommender
A”,“Recommender B”, and “Recommender C”. Their properties are investigated in detail in …
A”,“Recommender B”, and “Recommender C”. Their properties are investigated in detail in …