Knowledge Processing in Fuzzy and Neural Systems
Simplification of Fuzzy-Neural Systems Using Similarity Analysis
... In this paper, we propose a fuzzy neural network system (FNNS) to implement fuzzy inference systems for system modeling. By using the fuzzy similarity measure, we derive simple approxi[r] ...
11
Neuro fuzzy knowledge processing in intelligent learning environments for improved student diagnosis
... 4.4.Evaluating the neuro-fuzzy diagnostic model 4.4.1 Testing the rule-based diagnostic model (Case 1) In order to evaluate the performance of the rule-based neuro-fuzzy model, three test sets each one ...
53
Knowledge Extraction in Fuzzy Relational Systems Based on Genetic and Neural Approach
... of fuzzy relational equations is ...modular fuzzy relational equations with the multilevel composition ...the fuzzy knowledge base, which can be translated as a set of fuzzy IF-THEN ...
20
Weighted Fuzzy Spiking Neural P Systems
... spiking neural P systems (SN P systems), presented in [15], was inspired by the neurophysiological behavior of neurons sending electrical impulses (spikes) along axons to other ...P systems ...
11
Microwave neural networks and fuzzy classifiers for ES systems
... ES systems can obtain considerable gain in flexibility and adaptability by using artificial intelligence (AI) ...structured knowledge as rules of the type “If A then ...where knowledge, although ...
241
Neural Networks and Fuzzy Systems, A Dynamical Systems Approach to Machine Intelligence
... Neural networks and fuzzy systems estimate input-output functions. Both are trainable dynamical systems. Unlike statistical estimators, they estimate a function without[r] ...
468
Data Processing on Database Management Systems with Fuzzy Query
... management systems have made a significant progress in terms of function- ality and performance since they were first designed in the ...query systems of relational database management systems, which ...
8
Keywords: Learning, neural networks, fuzzy systems, perceptron, neuro-fuzzy. 1 Introduction
... of neural networks and fuzzy ...used neural network architecture of MLP – Multi Layer Perceptron is also one of the least efficient ...optimal neural network ...way neural network loses ...
9
Fuzzy reasoning spiking neural P systems revisited: A formalization
... The present work aims to provide a solid formalization of FRSN P systems. More specifically, it formalizes the first variant presented in [2], dealing with real numbers. Latter variants of these systems might ...
10
Long-term learning for type-2 neural-fuzzy systems
... Imposing strong constraints leads to less accurate models but a more interpretable fuzzy rule- base. 4. Conclusion In this article, a new long-term learning framework that is based on type-2 fuzzy ...
35
Fuzzy Systems and Neural Networks XML Schemas for Soft Computing
... The Fuzzy Systems related part of this project owns a lot to the XFL3 ...to Fuzzy Systems can be found in[10] and other specification languages in fuzzy logic include FTL[11] and ...on ...
14
Comparing a Neural-Fuzzy Scheme with a Probabilistic Neural Network for Applications to Monitoring and Diagnostics in Manufacturing Systems
... The SOPNN system using discrete classification was applied to separate training and testing data sets made by combining samples from the two operating conditions.. In this ca[r] ...
6
Neural Fuzzy Repair: Integrating Fuzzy Matches into Neural Machine Translation
... paper, Neural Fuzzy Repair, makes use of data augmentation to help improve machine translation quality using information retrieved from a transla- tion ...MT systems, NFR does not require different ...
10
Fuzzy Neural Networks
... 3.1. Fuzzy Neural Networks (or) Neuro Fuzzy System Neural network and Fuzzy logic are many times applied together for solving engineering ...Such systems show two distinct ways ...
5
Decoupled sliding-mode with fuzzy-neural network controller for nonlinear systems
... with fuzzy-neural network control (DSMFNNC) design scheme is employed to on-line adjustment the weights of fuzzy-neural network by using the reaching condition of a specified sliding ...
24
Electricity Price Forecasting using Asymmetric Fuzzy Neural Network Systems
... University of Westminster London, United Kingdom [email protected] Abstract—Electricity price forecasting is considered as an important tool for energy-related utilities and power generation industries. The ...
7
Application of Fuzzy Reasoning Spiking Neural P Systems to Fault Diagnosis
... The protection rules described above show that when a fault occurs on a certain section of a power system, protection devices will reach certain statuses to protect the section. Meanwhile, the relay trip signals and CBs ...
14
Application of data analytics and knowledge-based systems in mineral processing
... vision systems for froth flotation and the analysis of particulate systems, but also acoustic sensors and the interpretation of electrochemical ...camera systems or other types of sensing ...
59
Information and knowledge systems in the operation of agricultural and food processing enterprises
... of knowledge and data, – explaining ...of knowledge is made in conformity with directives introduced in the list of permitted products for plant protection, it is easily modified and it is possible to ...
5