Ink drop spread (IDS) is the engine of an active learning method, which is the methodology
of soft computing. IDS, as a pattern-based processing unit, extracts useful information from a …

In this paper, a novel neuro-fuzzy computing system is proposed where its learning is based
on the creation of fuzzy relations by using a new implication method without utilizing any …

Fuzzy C-mean (FCM) is the most well-known and widely-used fuzzy clustering algorithm.
However, one of the weaknesses of the FCM is the way it assigns membership degrees to …

Abstract Active Learning Method (ALM) is one of the powerful tools in soft computing and it is
inspired by the human brain capabilities in approaching complicated problems. ALM, which …

The ink drop spread (IDS) method is a modeling technique developed by algorithmically
mimicking the information-handling processes of the human brain. This method has been …

Active Learning Method (ALM) is a fuzzy learning method and is inspired by the approach of
human's brain toward understanding complicated problems. In this algorithm, a Multi-Input …

Proposing an efficient algorithm with an appropriate hardware implementation has always
been an interesting and a rather challenging field of research in Artificial Intelligence (AI) …

In artificial intelligence (AI), proposing an efficient algorithm with an appropriate hardware
implementation has always been a challenge because of the well-accepted fact that AI …

In this paper, we propose a novel density-based fuzzy clustering algorithm based on Active
Learning Method (ALM), which is a methodology of soft computing inspired by some …

The ink drop spread (IDS) method is a modeling technique used in the active learning
method (ALM), which is a new approach to soft computing. It is characterized by a modeling …