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[PDF] Top 20 Evaluating New Drugs by Fuzzy Inference System

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Evaluating New Drugs by Fuzzy Inference System

Evaluating New Drugs by Fuzzy Inference System

... of drugs was extracted from experts, and evaluated with sophisticated computation techniques to perform critical decision ...making. Fuzzy inference system plays an important role in the ... See full document

6

A new method for fuzzy information retrieval based on fuzzy hierarchical clustering and fuzzy inference techniques

A new method for fuzzy information retrieval based on fuzzy hierarchical clustering and fuzzy inference techniques

... retrieval system is to evaluate the degrees of relevance of the collected documents with respect to a user’s queries and retrieve the documents with a high degree of satisfaction to the ...characterized by ... See full document

13

Automatic Counting Cancer Cell Colonies using Fuzzy Inference System

Automatic Counting Cancer Cell Colonies using Fuzzy Inference System

... Keywords: clonogenic assays, cancer, feature extraction, image processing, fuzzy infer- ence system (FIS) 1. INTRODUCTION Medical treatments for liver cancer can currently be divided into three general ... See full document

12

The Bounded Capacity of Fuzzy Neural Networks (FNNs) Via a New Fully Connected Neural Fuzzy Inference System (F-CONFIS) With Its Applications

The Bounded Capacity of Fuzzy Neural Networks (FNNs) Via a New Fully Connected Neural Fuzzy Inference System (F-CONFIS) With Its Applications

... the fuzzy rule layer are 64 corresponding to 64 fuzzy rules (L = ...generated by MATLAB func- tion ...determined by Theorem 3 (L ≤ P ≤ (  ... See full document

14

An entropy-based quantum neuro-fuzzy inference system for classification applications

An entropy-based quantum neuro-fuzzy inference system for classification applications

... a new cluster is created, the cluster center, C, is defined, and its cluster distance and cluster width, Dc and Wc, is initially set to ...updated by changing the positions of their centers and increasing ... See full document

15

Predicting real-time coagulant dosage in water treatment by artificial neural networks and adaptive network-based fuzzy inference system

Predicting real-time coagulant dosage in water treatment by artificial neural networks and adaptive network-based fuzzy inference system

... to new data, the data sets were divided into training and testing data ...Sugeno-type fuzzy rule with the first-order linear equation, and three membership functions are used for each input parameters, and ... See full document

7

A New Approach to Video-Based Traffic Surveillance Using Fuzzy Hybrid Information Inference Mechanism

A New Approach to Video-Based Traffic Surveillance Using Fuzzy Hybrid Information Inference Mechanism

... a new approach to video-based traf- fic surveillance using a fuzzy hybrid information inference mechanism ...proposed system exhibits good performance under congested ... See full document

7

Temperature control with a neural fuzzy inference network

Temperature control with a neural fuzzy inference network

... the fuzzy logic controllers (FLC’s) and the neural controllers based on multilayered backpropagation neural networks (BPNN’s) has inspired new resources for the possible realization of better and more ... See full document

12

Application of Fuzzy Integral AHP on the Teacher Evaluating System 郭健芳、陳郁文

Application of Fuzzy Integral AHP on the Teacher Evaluating System 郭健芳、陳郁文

... Designing and Implementing a Successful Merit Pay Program for Teachers. PHI Delta Kappan, 73(4),320-25 11. Cuttance, P.(1990). Performance indicators and the management of quality in education .(ERIC Document ... See full document

2

Upper-Limb EMG-Based Robot Motion Governing Using Empirical Mode Decomposition and Adaptive Neural Fuzzy Inference System

Upper-Limb EMG-Based Robot Motion Governing Using Empirical Mode Decomposition and Adaptive Neural Fuzzy Inference System

... control system to pro- vide natural, intuitive manipulation for robot arm ...this new system with an initial point detection method previously proposed to establish the map- ping between the EMG ... See full document

17

Water bath temperature control with a neural fuzzy inference network

Water bath temperature control with a neural fuzzy inference network

... on-line training scheme also has a higher on-line convergence speed than the BPNN(15, 15) based on the conventional or the new on-line training scheme proposed in [25]. For the regulation performance after o - ... See full document

22

IMPLEMENTATION OF A FUZZY INFERENCE SYSTEM USING A NORMALIZED FUZZY NEURAL-NETWORK

IMPLEMENTATION OF A FUZZY INFERENCE SYSTEM USING A NORMALIZED FUZZY NEURAL-NETWORK

... Lin and Lee's [12] neural network-based fuzzy logic control and decision system provided criteria for rule combination to reduce the number of rules in a fuzzy neural network.. Grant [r] ... See full document

15

A new method for evaluating weapon systems using fuzzy set theory

A new method for evaluating weapon systems using fuzzy set theory

... the decision making process. The structure model presented in [ 1 I] for evaluating the three tactical missile systems is shown in Fig. The technology criteria include[r] ... See full document

5

Fuzzy Inference Systems

Fuzzy Inference Systems

... If dirtiness is large and type_of_dirt is grease, then wash time should be very_long.. Other rules for water level and spin speed.5[r] ... See full document

10

Adaptive neuro-fuzzy inference system for prediction of water level in reservoir

Adaptive neuro-fuzzy inference system for prediction of water level in reservoir

... neuro-fuzzy inference system (ANFIS), in forecasting 1–3 hours-ahead water level of a reservoir during flood ...control system, its variability cannot be solely determined by ... See full document

10

Applying Fuzzy TOPSIS Approach for Evaluating RFID System Suppliers in Healthcare Industry

Applying Fuzzy TOPSIS Approach for Evaluating RFID System Suppliers in Healthcare Industry

... In this paper, we applied fuzzy TOPSIS to effectively evaluate suitable RFID so- lution providers. The proposed framework intends to help decision makers better evaluate the important factors affecting RFID ... See full document

4

New methods for evaluating students' answerscripts using fuzzy numbers associated with degrees of confidence

New methods for evaluating students' answerscripts using fuzzy numbers associated with degrees of confidence

... present new methods for evaluating students’ answerscripts using fuzzy numbers associated with degrees of confidence, where the satisfaction levels given by the evaluator awarded to the ... See full document

6

A Fuzzy Inference Algorithm for Personal Bio-Informatics Fusion in Home-care System

A Fuzzy Inference Algorithm for Personal Bio-Informatics Fusion in Home-care System

... bio-signals by using measurable devices in the public ...for fuzzy-inferred ...the system architecture of collection and analysis bio-signals is shown in Figure ...the system would alert the ... See full document

6

RULE-BASE STRUCTURE IDENTIFICATION IN AN ADAPTIVE-NETWORK-BASED FUZZY INFERENCE SYSTEM

RULE-BASE STRUCTURE IDENTIFICATION IN AN ADAPTIVE-NETWORK-BASED FUZZY INFERENCE SYSTEM

... Third, the total number of rules (clusters) is predetermined in these algorithms. When the resulting partition is not good enough and we want to increase the number of rules[r] ... See full document

10

Fuzzy BP: A Neural Network Model with Fuzzy Inference

Fuzzy BP: A Neural Network Model with Fuzzy Inference

... According to the above descriptions, the medians aa', bb', and 2 will intersect at point g whose coordinate is denoted as (x,y). Thus, g is the centroid point of this triangle. The[r] ... See full document

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