[go: up one dir, main page]

Gupta et al., 2013 - Google Patents

An introduction of soft computing approach over hard computing

Gupta et al., 2013

View PDF
Document ID
13038298784120272368
Author
Gupta P
Kulkarni N
Publication year
Publication venue
International Journal of Latest Trends in Engineering and Technology (IJLTET)

External Links

Snippet

In this paper we describe how soft computing techniques use in the problem solving approach as we did it as early in a hard computing or traditional define rule base approach. Soft Computing techniques are fuzzy logic and genetic algorithms, Artificial Neural Networks …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computer systems based on biological models
    • G06N3/02—Computer systems based on biological models using neural network models
    • G06N3/04—Architectures, e.g. interconnection topology
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computer systems utilising knowledge based models
    • G06N5/02—Knowledge representation
    • G06N5/022—Knowledge engineering, knowledge acquisition
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computer systems based on biological models
    • G06N3/02—Computer systems based on biological models using neural network models
    • G06N3/06—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
    • G06N3/063—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
    • G06N3/0635—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means using analogue means
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computer systems based on biological models
    • G06N3/02—Computer systems based on biological models using neural network models
    • G06N3/08—Learning methods
    • G06N3/082—Learning methods modifying the architecture, e.g. adding or deleting nodes or connections, pruning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00—Subject matter not provided for in other groups of this subclass
    • G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computer systems utilising knowledge based models
    • G06N5/04—Inference methods or devices
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/0265—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion
    • G05B13/027—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion using neural networks only
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00—Computer systems based on specific mathematical models
    • G06N7/005—Probabilistic networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computer systems based on biological models
    • G06N3/12—Computer systems based on biological models using genetic models
    • G06N3/126—Genetic algorithms, i.e. information processing using digital simulations of the genetic system
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50—Computer-aided design
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F15/00—Digital computers in general; Data processing equipment in general
    • G06F15/18—Digital computers in general; Data processing equipment in general in which a programme is changed according to experience gained by the computer itself during a complete run; Learning machines

Similar Documents

Publication Publication Date Title
Gupta et al. An introduction of soft computing approach over hard computing
Siddique et al. Computational intelligence: synergies of fuzzy logic, neural networks and evolutionary computing
Papageorgiou et al. A review of fuzzy cognitive maps research during the last decade
Song et al. Human-AI collaboration by design
Castillo et al. Computational intelligence software for interval type‐2 fuzzy logic
Shan et al. The data-driven fuzzy cognitive map model and its application to prediction of time series
Ramachandran et al. AI-powered decision making in management: a review and future directions
Mitiku et al. Neuro fuzzy inference approach: a survey
Jiya et al. A review of fuzzy cognitive maps extensions and learning
Skobtsov Prospects of the interdisciplinary course “computational intelligence” in engineering education
Zile Intelligent and adaptive control
Na et al. A novel heuristic artificial neural network model for urban computing
El-Hassani et al. A novel model for optimizing multilayer perceptron neural network architecture based on genetic algorithm method
Werbos Values, goals and utility in an engineering-based theory of mammalian intelligence
Kondratenko et al. Two-stage method of fuzzy rule base correction for variable structure of input vector
Pulido et al. Optimization of type-2 fuzzy integration in ensemble neural networks for predicting the US Dolar/MX pesos time series
Macwan et al. Modeling performance appraisal using soft computing techniques: Designing neuro-fuzzy application
Hanafy A new algorithm to model highly nonlinear system based coactive neuro fuzzy inference system
Addis et al. Semi-automatic generation of cognitive science theories
Groumpos et al. Mathematical modelling of decision making support systems using fuzzy cognitive maps
Jiang et al. Parameter optimization strategy of fuzzy Petri net utilizing hybrid GA-SFLA algorithm
Luchici DEALING WITH VAGUENESS IN AGENT-BASED MODELS: A PYTHON FUZZY LOGIC ABM FRAMEWORK.
Svancara Relational Field Theory and AI: The Evolution of a Thinking System
Samanta Development of finite memory neural fuzzy networks for lag-free improved time series forecasting
Šafránek Integration of Artificial Intelligence and Big Data into Human Decision Support Systems: Comparative Analysis of Optimization Methods