Published by Apple Academic Press, 2024
ISBN 10: 1774639238 ISBN 13: 9781774639238
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Published by Apple Academic Press Inc., 2024
ISBN 10: 1774639238 ISBN 13: 9781774639238
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Published by Apple Academic Press, 2024
ISBN 10: 1774639238 ISBN 13: 9781774639238
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Published by Apple Academic Pr Inc, 2024
ISBN 10: 1774639238 ISBN 13: 9781774639238
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Published by Apple Academic Press, 2022
ISBN 10: 177463029X ISBN 13: 9781774630297
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Published by Nova Science Pub Inc, 2020
ISBN 10: 1536181803 ISBN 13: 9781536181807
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Published by Nova Science Publishers Inc, 2020
ISBN 10: 1536181803 ISBN 13: 9781536181807
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Published by Nova Science Pub Inc, 2020
ISBN 10: 1536181803 ISBN 13: 9781536181807
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Published by Apple Academic Press, 2022
ISBN 10: 177463029X ISBN 13: 9781774630297
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Published by Apple Academic Press, 2022
ISBN 10: 177463029X ISBN 13: 9781774630297
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Published by Apple Academic Press, 2022
ISBN 10: 177463029X ISBN 13: 9781774630297
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Published by Apple Academic Press, 2022
ISBN 10: 177463029X ISBN 13: 9781774630297
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Published by Nova Science Publishers, Inc, 2020
ISBN 10: 1536181803 ISBN 13: 9781536181807
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Published by Nova Science Pub Inc, 2020
ISBN 10: 1536181803 ISBN 13: 9781536181807
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Published by Apple Academic Press Inc., 2022
ISBN 10: 177463029X ISBN 13: 9781774630297
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Published by Nova Science Pub Inc, 2020
ISBN 10: 1536181803 ISBN 13: 9781536181807
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Published by Apple Academic Press, 2022
ISBN 10: 177463029X ISBN 13: 9781774630297
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Published by Apple Academic Press, 2022
ISBN 10: 177463029X ISBN 13: 9781774630297
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Published by Apple Academic Pr Inc, 2022
ISBN 10: 177463029X ISBN 13: 9781774630297
Language: English
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Published by Nova Science Pub Inc, 2020
ISBN 10: 1536181803 ISBN 13: 9781536181807
Language: English
Seller: Majestic Books, Hounslow, United Kingdom
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Published by Apple Academic Press, 2022
ISBN 10: 177463029X ISBN 13: 9781774630297
Language: English
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Published by Nova Science Publishers Inc, US, 2020
ISBN 10: 1536181803 ISBN 13: 9781536181807
Language: English
Seller: Rarewaves.com UK, London, United Kingdom
Hardback. Condition: New. This book provides a better understanding of Fuzzy set theory, Fuzzy logic and Neural Networks and various other techniques seem very well suited for modelling and controlling a real system. Energy is of major importance to civilisation, because it is driving force which binds human race. The estimation of energy in the form of renewable and sustainable is one of the important aspects to understand the how resources are harnessed and to predict what might happen under various possible future conditions. Using available modelling techniques to generate the best algorithms, the objective is to determine the best solution in terms of comparing the performances of the solutions through different parameters for a specific case. Consumption of Fossil fuels at a rapid pace has generated an alarming situation and with the subsequent increase in the number of vehicle the pollution level has reached well beyond human's control. This is frightening enough to observe the fact that the pollution level has surpassed all records and the need of the hour is to find an alternate fuel which can really be of great assistance in reducing the exhaust emission and augment the performance parameters of engine. Major researches are carried out on various engines to draw closer towards a realistic solution. Experiments performed on various engines are considered to be time consuming and the expenses met to perform these experiments are too costly, so the need of soft computing techniques involved in this area. Soft computing can be better described as the process to find the solution to an inexact problem. Soft computing has showed lot of potential in giving the researchers the exact solution may be in case of validating or predicting the performance and emission parameters. Artificial Neural Network (ANN), Adaptive Neuro Fuzzy Inference system (ANFIS), Fuzzy Expert System (FES), Response Surface Methodology (RSM) and Support Vector Machine (SVM) are the various soft computing techniques widely used. This book focuses on to carry out the comprehensive review and various other experimental works of various researchers who have carried out the work on these various soft computing techniques on various engines with various alternative fuels on the basis of modelling techniques, time is saved to a great extent and the capital investment involved is comparably very low. Various modelling techniques are being readily used to predict the performance parameters for various engines and modelling techniques have become the readily available tool to compare and validate the experimental work being carried out by researchers to get accurate matching with the experimental data. The benefit of this issue will be at large in connecting with varieties of work done in the field of Biomass which includes wood and wood waste, municipal solid waste. Landfill gas and biogas. Ethanol, Biodiesel, Hydropower, Geothermal, Wind, Solar. Thus soft computing techniques are fast and reliable hence, t.
Published by Nova Science Pub Inc, 2020
ISBN 10: 1536181803 ISBN 13: 9781536181807
Language: English
Seller: Books Puddle, New York, NY, U.S.A.
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Published by Nova Science Publishers, Inc, 2020
ISBN 10: 1536181803 ISBN 13: 9781536181807
Language: English
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Published by Nova Science Publishers Inc, New York, 2020
ISBN 10: 1536181803 ISBN 13: 9781536181807
Language: English
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Add to basketHardcover. Condition: new. Hardcover. This book provides a better understanding of Fuzzy set theory, Fuzzy logic and Neural Networks and various other techniques seem very well suited for modelling and controlling a real system. Energy is of major importance to civilisation, because it is driving force which binds human race. The estimation of energy in the form of renewable and sustainable is one of the important aspects to understand the how resources are harnessed and to predict what might happen under various possible future conditions. Using available modelling techniques to generate the best algorithms, the objective is to determine the best solution in terms of comparing the performances of the solutions through different parameters for a specific case. Consumption of Fossil fuels at a rapid pace has generated an alarming situation and with the subsequent increase in the number of vehicle the pollution level has reached well beyond human's control. This is frightening enough to observe the fact that the pollution level has surpassed all records and the need of the hour is to find an alternate fuel which can really be of great assistance in reducing the exhaust emission and augment the performance parameters of engine. Major researches are carried out on various engines to draw closer towards a realistic solution. Experiments performed on various engines are considered to be time consuming and the expenses met to perform these experiments are too costly, so the need of soft computing techniques involved in this area. Soft computing can be better described as the process to find the solution to an inexact problem. Soft computing has showed lot of potential in giving the researchers the exact solution may be in case of validating or predicting the performance and emission parameters. Artificial Neural Network (ANN), Adaptive Neuro Fuzzy Inference system (ANFIS), Fuzzy Expert System (FES), Response Surface Methodology (RSM) and Support Vector Machine (SVM) are the various soft computing techniques widely used. This book focuses on to carry out the comprehensive review and various other experimental works of various researchers who have carried out the work on these various soft computing techniques on various engines with various alternative fuels on the basis of modelling techniques, time is saved to a great extent and the capital investment involved is comparably very low. Various modelling techniques are being readily used to predict the performance parameters for various engines and modelling techniques have become the readily available tool to compare and validate the experimental work being carried out by researchers to get accurate matching with the experimental data. The benefit of this issue will be at large in connecting with varieties of work done in the field of Biomass which includes wood and wood waste, municipal solid waste. Landfill gas and biogas. Ethanol, Biodiesel, Hydropower, Geothermal, Wind, Solar. Thus soft computing techniques are fast and reliable hence, they can be a substitute for conventional experiments. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Published by Nova Science Publishers Inc, New York, 2020
ISBN 10: 1536181803 ISBN 13: 9781536181807
Language: English
Seller: AussieBookSeller, Truganina, VIC, Australia
£ 161.91
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Add to basketHardcover. Condition: new. Hardcover. This book provides a better understanding of Fuzzy set theory, Fuzzy logic and Neural Networks and various other techniques seem very well suited for modelling and controlling a real system. Energy is of major importance to civilisation, because it is driving force which binds human race. The estimation of energy in the form of renewable and sustainable is one of the important aspects to understand the how resources are harnessed and to predict what might happen under various possible future conditions. Using available modelling techniques to generate the best algorithms, the objective is to determine the best solution in terms of comparing the performances of the solutions through different parameters for a specific case. Consumption of Fossil fuels at a rapid pace has generated an alarming situation and with the subsequent increase in the number of vehicle the pollution level has reached well beyond human's control. This is frightening enough to observe the fact that the pollution level has surpassed all records and the need of the hour is to find an alternate fuel which can really be of great assistance in reducing the exhaust emission and augment the performance parameters of engine. Major researches are carried out on various engines to draw closer towards a realistic solution. Experiments performed on various engines are considered to be time consuming and the expenses met to perform these experiments are too costly, so the need of soft computing techniques involved in this area. Soft computing can be better described as the process to find the solution to an inexact problem. Soft computing has showed lot of potential in giving the researchers the exact solution may be in case of validating or predicting the performance and emission parameters. Artificial Neural Network (ANN), Adaptive Neuro Fuzzy Inference system (ANFIS), Fuzzy Expert System (FES), Response Surface Methodology (RSM) and Support Vector Machine (SVM) are the various soft computing techniques widely used. This book focuses on to carry out the comprehensive review and various other experimental works of various researchers who have carried out the work on these various soft computing techniques on various engines with various alternative fuels on the basis of modelling techniques, time is saved to a great extent and the capital investment involved is comparably very low. Various modelling techniques are being readily used to predict the performance parameters for various engines and modelling techniques have become the readily available tool to compare and validate the experimental work being carried out by researchers to get accurate matching with the experimental data. The benefit of this issue will be at large in connecting with varieties of work done in the field of Biomass which includes wood and wood waste, municipal solid waste. Landfill gas and biogas. Ethanol, Biodiesel, Hydropower, Geothermal, Wind, Solar. Thus soft computing techniques are fast and reliable hence, they can be a substitute for conventional experiments. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Published by Apple Academic Press, 2025
ISBN 10: 1774918846 ISBN 13: 9781774918845
Language: English
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New.
Published by Apple Academic Press, 2022
ISBN 10: 177463029X ISBN 13: 9781774630297
Language: English
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
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Published by Nova Science Publishers Inc Jul 2020, 2020
ISBN 10: 1536181803 ISBN 13: 9781536181807
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Published by Nova Science Pub Inc, 2020
ISBN 10: 1536181803 ISBN 13: 9781536181807
Language: English
Seller: Biblios, Frankfurt am main, HESSE, Germany
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