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output variables

Large Margin Methods for Structured and Interdependent Output Variables

Large Margin Methods for Structured and Interdependent Output Variables

... and output spaces is one of the key challenges in computational ...dependent output variables, structured output spaces, and classification problems with class ...of output spaces ...

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A Study of Psychosocial and Built Environment factors for Diabetes using MLP Neural Network

A Study of Psychosocial and Built Environment factors for Diabetes using MLP Neural Network

... 14 variables namely Age, Sex, BMI, primary activity, Activity By Health, leisure, professional Activity, Rest, Basic Mobility, transport, food intake, weight, public transport and private transport ...input ...

8

Use of Fuzzy Logic in Design of Smart Washing Machine and Air Conditioner: A Review

Use of Fuzzy Logic in Design of Smart Washing Machine and Air Conditioner: A Review

... were output parameters. They saved input, output and other variables in computer and it was observed that FLC made cheaper, effective, reliable and consistent air condition that is feasible in real ...

6

Use of Fuzzy Logic in Design of Smart Washing Machine 			and Air Conditioner: A Review

Use of Fuzzy Logic in Design of Smart Washing Machine and Air Conditioner: A Review

... were output parameters. They saved input, output and other variables in computer and it was observed that FLC made cheaper, effective, reliable and consistent air condition that is feasible in real ...

6

Development of a Neural Network based Model for Construction Project Management Effectiveness

Development of a Neural Network based Model for Construction Project Management Effectiveness

... and output layer was decided by the number of input and output variables of the construction project management effectiveness neural ...the output layer had 5 neurons, representing five ...

5

Modeling and Optimization of Integrated Production Inventory Distribution Network for a Tyre Retread Industry

Modeling and Optimization of Integrated Production Inventory Distribution Network for a Tyre Retread Industry

... optimum output (minimum cost of production, inventory and distribution) through six output variables and twenty three input ...input variables and 6 output variables were listed ...

6

Modeling and Efficiency Optimization of Steam Boilers by Employing Neural Networks and Response-Surface Method (RSM)

Modeling and Efficiency Optimization of Steam Boilers by Employing Neural Networks and Response-Surface Method (RSM)

... The neural network is expressed on the basis of a particular topology. The topology is referred to the structure of the network. In this investigation, a triple layer neural network, Figure 3, is used to predict the ...

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Design And Realization Of Fuzzy Logic Control For Ebb And Flow Hydroponic System

Design And Realization Of Fuzzy Logic Control For Ebb And Flow Hydroponic System

... Speed output variable also contains four membership functions, ...input variables (IV) and output variables (OV) and their respective membership functions, fuzzy rules can be formulated to be ...

7

MULTI-OBJECTIVE OPTIMISATION OF PROCESS PARAMETERS IN MILLING PROCESS ON  AL 6063-T6 BY REGRESSION HYBRID FUZZY FEED RSM METHOD

MULTI-OBJECTIVE OPTIMISATION OF PROCESS PARAMETERS IN MILLING PROCESS ON AL 6063-T6 BY REGRESSION HYBRID FUZZY FEED RSM METHOD

... the output variables which indicate that the predictors (input variables) explain ...individual output parameter in terms of input parameter combination are ...

12

Experimental Performance Analysis of Vortex Tube for Various Parameters

Experimental Performance Analysis of Vortex Tube for Various Parameters

... The various parameters, which affect the performance of the vortex tube, were divided into following input and output variables: Input variables: Area of cold orifice, Effective Area of [r] ...

5

Speed Control of Smart Car using Fuzzy Logic Controller

Speed Control of Smart Car using Fuzzy Logic Controller

... state variables and one control variable for accomplishing speed control of the Smart ...the output stage converts the combined result back into a specific control output ...

9

Detection of Heart Diseases using Fuzzy Logic

Detection of Heart Diseases using Fuzzy Logic

... Membership functions are used to retranslate the fuzzy output into a crisp value. This method is known as Defuzzification. The fuzzy inference evaluates the control rules stored in the fuzzy rule base. ...

6

Fish import model for nigeria: a case for self-sufficiency

Fish import model for nigeria: a case for self-sufficiency

... independent variables were found to jointly explain 98 per cent of the movement in the dependent variables (see Table ...independent variables; price of fish import, the local output of fish, ...

5

Output Composition of Monetary Policy Transmission in Pakistan

Output Composition of Monetary Policy Transmission in Pakistan

... on output (Y) components, private consumption (CONS), private investment (INV) and CPI ...macroeconomic variables in Pakistan, which allows this study to use an unrestricted approach to analyse the effects ...

19

Performance Improvement of Intelligent Weather System for Satellite Networks

Performance Improvement of Intelligent Weather System for Satellite Networks

... This relation between the input variables and the output variable is given as; Production output = {dB state factor} or {Voltage Factor} or {Phase QPSK Factor} In fuzzy set notation this[r] ...

5

Captive Nations: Measuring Economic Growth on Native American Reservations in California

Captive Nations: Measuring Economic Growth on Native American Reservations in California

... For simplification in our analysis, we group the twelve variables into three main institutional indicators; Business Conditions, Social Harmony and Government Quality. Table 3 shows the grouping system. Although, ...

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EFFECT OF GOVERNMENT EXPENDITURE ON AGRICULTURE OUTPUT PERFORMANCE IN KENYA

EFFECT OF GOVERNMENT EXPENDITURE ON AGRICULTURE OUTPUT PERFORMANCE IN KENYA

... Licensed under Creative Common Page 194 economy. The disregard of these imperative areas in the current literature created observational gap for which the exploration was done and establish policy inferences from past ...

13

DESIGN AND IMPLEMENTATION OF A NEW DATA TRANSMISSION PROTOCOL, SPI-RING PROTOCOL, CONNECTING TWO SINGLE MD100-PLC PROGRAMMABLE LOGIC CONTROLLERS VIA SPI INTERFACE TO FORM MODULAR MD100-PLC SYSTEM.

DESIGN AND IMPLEMENTATION OF A NEW DATA TRANSMISSION PROTOCOL, SPI-RING PROTOCOL, CONNECTING TWO SINGLE MD100-PLC PROGRAMMABLE LOGIC CONTROLLERS VIA SPI INTERFACE TO FORM MODULAR MD100-PLC SYSTEM.

... SpiMaster is the upper level function calling the host function TrackSlave. SpiMaster updates VALU and TARE registers and past them together with RTVA registers to the TrackSlave function. SpiMaster calls TrackSlave six ...

17

Robust Regression Analysis with LR Type Fuzzy Input Variables and Fuzzy Output Variable

Robust Regression Analysis with LR Type Fuzzy Input Variables and Fuzzy Output Variable

... Watada and Yabuuchi [11] propose a robust fuzzy regression model based on a hyperelliptic function. Chang and Lee [5] have suggested generalized fuzzy weighted least squares method for an outlier condition, making ...

17

Virtual  isomorphisms  of  ciphers:  is  AES  secure  against  differential /  linear  attack?

Virtual isomorphisms of ciphers: is AES secure against differential / linear attack?

... outputs of IXOR. So sets (a, a, c, d) with differences (, , 0, 0) give collision (as differential with zero output difference) with probability 1.  We use affine  . But this substitution is not an exact ...

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