Author Search Results

1

Artificial bee colony optimization of interval type-2 fuzzy extreme learning system for chaotic data by Hassan, S., Jaafar, J., Khanesar, M.A., Khosravi, A.

Published 2016

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Neural network ensemble: Evaluation of aggregation algorithms in electricity demand forecasting by Hassan, S., Khosravi, A., Jaafar, J.

Published 2013

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Neural network ensemble: Evaluation of aggregation algorithms in electricity demand forecasting by Hassan, S., Khosravi, A., Jaafar, J.

Published 2013

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Neural network ensemble: Evaluation of aggregation algorithms in electricity demand forecasting by Hassan, S., Khosravi, A., Jaafar, J.

Published 2013

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The impact of FOU size and number of MFs on the prediction performance of Interval Type-2 Fuzzy Logic Systems by Hassan, S., Khosravi, A., Jaafar, J.

Published 2016

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The impact of FOU size and number of MFs on the prediction performance of Interval Type-2 Fuzzy Logic Systems by Hassan, S., Khosravi, A., Jaafar, J.

Published 2016

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Variance-covariance based weighing for neural network ensembles by Hassan, S., Khosravi, A., Jaafar, J.

Published 2013

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8

Variance-covariance based weighing for neural network ensembles by Hassan, S., Khosravi, A., Jaafar, J.

Published 2013

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9

Variance-covariance based weighing for neural network ensembles by Hassan, S., Khosravi, A., Jaafar, J.

Published 2013

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10

Examining performance of aggregation algorithms for neural network-based electricity demand forecasting by Hassan, S., Khosravi, A., Jaafar, J.

Published 2015

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11

Training of interval type-2 fuzzy logic system using extreme learning machine for load forecasting by Hassan, S., Khosravi, A., Jaafar, J.

Published 2015

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12

Electricity load and price forecasting with influential factors in a deregulated power industry by Hassan, S., Khosravi, A., Jaafar, J., Raza, M.Q.

Published 2014

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13

Bayesian model averaging of load demand forecasts from neural network models by Hassan, S., Khosravi, A., Jaafar, J.

Published 2013

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14

Bayesian model averaging of load demand forecasts from neural network models by Hassan, S., Khosravi, A., Jaafar, J.

Published 2013

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15

Bayesian model averaging of load demand forecasts from neural network models by Hassan, S., Khosravi, A., Jaafar, J.

Published 2013

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16

A multi-objective genetic type-2 fuzzy extreme learning system for the identification of nonlinear dynamic systems by Hassan, S., Khanesar, M.A., Jaafar, J., Khosravi, A.

Published 2017

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17

Comparative analysis of three approaches of antecedent part generation for an IT2 TSK FLS by Hassan, S., Khanesar, M.A., Jaafar, J., Khosravi, A.

Published 2017

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18

Optimal parameters of an ELM-based interval type 2 fuzzy logic system: a hybrid learning algorithm by Hassan, S., Khanesar, M.A., Jaafar, J., Khosravi, A.

Published 2018

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19

A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings by Raza, M.Q., Khosravi, A.

Published 2015

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20

A systematic design of interval type-2 fuzzy logic system using extreme learning machine for electricity load demand forecasting by Hassan, S., Khosravi, A., Jaafar, J., Khanesar, M.A.

Published 2016

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Search Results - Khosravi, A.

Artificial bee colony optimization of interval type-2 fuzzy extreme learning system for chaotic data by Hassan, S., Jaafar, J., Khanesar, M.A., Khosravi, A.

Neural network ensemble: Evaluation of aggregation algorithms in electricity demand forecasting by Hassan, S., Khosravi, A., Jaafar, J.

Neural network ensemble: Evaluation of aggregation algorithms in electricity demand forecasting by Hassan, S., Khosravi, A., Jaafar, J.

Neural network ensemble: Evaluation of aggregation algorithms in electricity demand forecasting by Hassan, S., Khosravi, A., Jaafar, J.

The impact of FOU size and number of MFs on the prediction performance of Interval Type-2 Fuzzy Logic Systems by Hassan, S., Khosravi, A., Jaafar, J.

The impact of FOU size and number of MFs on the prediction performance of Interval Type-2 Fuzzy Logic Systems by Hassan, S., Khosravi, A., Jaafar, J.

Variance-covariance based weighing for neural network ensembles by Hassan, S., Khosravi, A., Jaafar, J.

Variance-covariance based weighing for neural network ensembles by Hassan, S., Khosravi, A., Jaafar, J.

Variance-covariance based weighing for neural network ensembles by Hassan, S., Khosravi, A., Jaafar, J.

Examining performance of aggregation algorithms for neural network-based electricity demand forecasting by Hassan, S., Khosravi, A., Jaafar, J.

Training of interval type-2 fuzzy logic system using extreme learning machine for load forecasting by Hassan, S., Khosravi, A., Jaafar, J.

Electricity load and price forecasting with influential factors in a deregulated power industry by Hassan, S., Khosravi, A., Jaafar, J., Raza, M.Q.

Bayesian model averaging of load demand forecasts from neural network models by Hassan, S., Khosravi, A., Jaafar, J.

Bayesian model averaging of load demand forecasts from neural network models by Hassan, S., Khosravi, A., Jaafar, J.

Bayesian model averaging of load demand forecasts from neural network models by Hassan, S., Khosravi, A., Jaafar, J.

A multi-objective genetic type-2 fuzzy extreme learning system for the identification of nonlinear dynamic systems by Hassan, S., Khanesar, M.A., Jaafar, J., Khosravi, A.

Comparative analysis of three approaches of antecedent part generation for an IT2 TSK FLS by Hassan, S., Khanesar, M.A., Jaafar, J., Khosravi, A.

Optimal parameters of an ELM-based interval type 2 fuzzy logic system: a hybrid learning algorithm by Hassan, S., Khanesar, M.A., Jaafar, J., Khosravi, A.

A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings by Raza, M.Q., Khosravi, A.

A systematic design of interval type-2 fuzzy logic system using extreme learning machine for electricity load demand forecasting by Hassan, S., Khosravi, A., Jaafar, J., Khanesar, M.A.

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