Especially, for a nonhomogeneous region, gray values of satellite sensor images vary greatly and thus, direct statistic gray values fail to do the categorization task correctly. The goal of this paper is to develop a cascaded architecture of neural fuzzy networks with feature mapping (CNFM) to ...
A neuro-fuzzy integrated architecture which permits on-line self-training includes at least one microcontroller of the fuzzy type dedicated to fuzzy rules computing and integrated monolithically on a semiconductor together with a non-volatile memory. Also included within the same integrated circuit are ...
Neural networks and fuzzy systems have been applied very successfully in the identification and control of dynamic systems. This paper presents combination of the fuzzy logic controller and neural network identification structure, integrated into robotic system, to provide extensive capabilities. We first ...
The architecture of a 64-bit fuzzy inference processor (FIP) will be presented. A fuzzy system consisting of the FIP and a 64-bit microprocessor speeds-up the inference by up to 10 times. In addition we present an optimized inference algorithm which achieves a 50 fold acceleration for the ...
Experimental Python implementation of the Clarion cognitive architecture artificial-intelligence neural-networks cognitive-architecture commonsense-reasoning neuro-fuzzy cognitive-modeling neurosymbolic Updated Nov 11, 2024 Python cram2 / pycram Star 32 Code Issues Pull requests Cognitive Robot Abstract Ma...
When the initial images are not properly formed, the fuzzy image contents can be refined with the help of a dynamic memory module introduced by the proposed method. The researchers developed a novel approach called multi-perspective fusion to improve text-to-image synthesis. In this approach, ...
- 《IEEE Transactions on Neural Networks》 被引量: 294发表: 1992年 Neuro-fuzzy approach to processing inputs with missing values in pattern recognition problems An approach to dealing with missing data, both during the design and normal operation of a neuro-fuzzy classifier is presented in this...
S Shiotani,T Fukuda,T Shibata - 《Neurocomputing》 被引量: 38发表: 1995年 The Simplicial Neural Cell and Its Mixed-Signal Circuit Implementation: An Efficient Neural Network Architecture for Intelligent Signal Processing in Porta... Introduces a novel neural architecture which is capable of similar...
Service Continuity: Usually, edge devices are connected to the edge server that is geographically close to it. However, in some scenarios, such as the Vehicular Networks, edge devices tend to move to a place that is close to another edge server and connect with the new one. It is a chall...
In this paper a hybrid system for motor control on testbeds, consisting of neural networks with a self-organizing process state detection and fuzzy rulebases, is proposed. The basic mechanism used for hybridization is a multiagent system composed from loosely interconnected subsystems for the differ...