[PDF] Top 20 Concurrency Control in Cad Using Artificial Neural Network and Fuzzy Logic
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Concurrency Control in Cad Using Artificial Neural Network and Fuzzy Logic
... There is no serializability when many users work on shared objects. During long transactions, optimistic transactions and two phase locking will result in deadlock. Two phase locking forces to lock resources for long ... See full document
7
Implementation of Artificial Neural Network and Fuzzy Logic for Concurrency Control in CAD Data Base
... novel Concurrency Control methods using Artificial Neural Networks (ANN) and Fuzzy Logic with applications to Computer Aided Design / Computer Aided Manufacturing ... See full document
6
IMPLEMENTATION OF ARTIFICIAL NEURAL NETWORK IN CONCURRENCY CONTROL OF DISTRIBUTED DATABASE SYSTEM
... Algorithms; Artificial Intelligence; Compilers & Translation; Computer Aided Design (CAD); Computer Aided Manufacturing; Computer Graphics; Computer Organization & Architecture; Database Structures ... See full document
13
Adaptive and intelligent navigation of autonomous planetary rovers – a survey
... layer neural network that does not require adjustment of weights, is combined with reinforcement Q-learning [27] to enable online ...a fuzzy logic controller is integrated with heuristic ... See full document
8
Direct torque control of three phase induction motor using neural network fuzzy logic techniques
... combining fuzzy logic and Artificial Neural Network using ANFIS (Artificial Neuro Fuzzy Inference ...the Neural Network are extracted from the ... See full document
7
Systemic Approach for Health Risk Assessment of Ambient Air Concentrations of Benzene in Petrochemical Environments: In-tegration of Fuzzy Logic, Artificial Neural Network, and IRIS Toxicity Method
... ly the exposure levels, as a result, the high tem- peratures in the summer and spring explains the increased benzene concentrations in exposure values. When temperatures are very low (winter- time), the exposure levels ... See full document
11
Predictions of Tool Wear in Hard Turning of AISI4140 Steel through Artificial Neural Network, Fuzzy Logic and Regression Models
... formulated using Regression, Fuzzy and ANN ...than fuzzy and regression ...adaptive control of cutting parameters, during real time ... See full document
6
Intelligent Control Algorithm for Maximum Power Point Tracking of PV Arrays
... intelligent control technique – Fuzzy logic and Artificial Neural Network are use for MPPT of PV ...array. Fuzzy logic does not need the knowledge of exact model of ... See full document
10
The Applied Artificial Intelligence to the Control Electronics Improving the Energy Efficiency of Ventilation Systems in the Industry
... current control of the combustion air system and the energy reserves present, since manually the excess air flow is regulated, while the fans work at full capacity all the time what produces an unnecessary ... See full document
10
Pancreatic Cancer Detection and Diagnosis Expert System using Artificial Neural Networks and Fuzzy Logic Techniques
... out-of control cell growth and pancreatic cancer (PC) occurs when this uncontrolled cell growth begins in the ...present artificial neural network and fuzzy logic in pancreatic ... See full document
5
Adaptive Neuro-Fuzzy System to Determine the Blood Glucose Level of Diabetic
... intelligence, Artificial intelligence and soft computing techniques which includes; Artificial Neural network, fuzzy logic, evolutionary algorithms and swarm intelligence, or any ... See full document
5
Comparison of Fuzzy Logic & Hybrid Controller based DTC Technique of Induction Motor
... of fuzzy logic and artificial neural network results in ANFIS ...i.e. fuzzy logic and neural ...speed control of IM. The fuzzy logic controller ... See full document
10
Artificial immune system based on real valued negative selection algorithms for anomaly detection
... 9 Natural Immune System (NIS) mainly consists of lymphoid organs that create lymphocytes. The two most familiar lymphocytes are the T-Cell and B-Cell, in which both are formed in bone marrows as shown in Figure 2.1. Both ... See full document
43
Knowledge Based Deep Learning Collaborative Filtering (KBDLCF)
... pre-processed using various pre- processing techniques such as feature selection, normalization and data ...of fuzzy rules (crisp rules) on effectiveness ...Personalized Artificial Bee Colony ... See full document
10
Artificial Intelligence in Diagnosing Tuberculosis: A Review
... The term “Artificial Intelligence” (AI) was coined by John McCarthy [50]. The word “AI,” was used for the first time in a workshop organized by McCarty, at Dartmouth College [51] . The workshop included M.L ... See full document
11
Applying Fuzzy Logic Model for Bending Rigidity Evaluation of Woven Fabrics
... performance. Fuzzy rule base contains rules that include all possible fuzzy relations between inputs and ...a fuzzy rule base depends not only on the input variable selections but also on the ... See full document
8
Survey on Credit Card Fraud Detection Methods
... on Artificial Intelligence, Data mining, Neural Network, Bayesian Network, Fuzzy logic, Artificial Immune System, K- nearest neighbor algorithm, Support Vector Machine, ... See full document
6
To Design and Implement Neural Network and Fuzzy Logic for Software Development Effort Prediction
... word Fuzzy is defined as blurred, indistinct, imprecisely defined, confused or ...vague. Fuzzy systems are knowledge based or rule based systems ...a fuzzy system is a knowledge base consisting of ... See full document
6
International Journal of Computer Science and Mobile Computing
... like Fuzzy Logic, Artificial neural network, genetic algorithms, swarm optimization, etc are used for this purpose to distinguish, compare or process various type of ... See full document
6
Role of the Computational Intelligence in Drugs Discovery and Design: Introduction, Techniques and Software
... term artificial neural network can be defined as a computer science paradigm that makes use of an abstract modeling of the neuronal structure of the brain as a tool for pattern recognition [19, 20, ... See full document
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