Neural network process (38 résultats)

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - The increase in GHG gases in the atmosphere due to expansions in industrial and vehicular concentration is attributed to warming of the climate world wide. The resultant change in climatic pattern can induce abnormalities in the hydrological cycle. As a result, the regular functionality of river watersheds will also be affected. This Brief highlights a new methodology to rank the watersheds in terms of its vulnerability to change in climate. This Brief introduces a Vulnerability Index which will be directly proportional to the climatic impacts of the watersheds. Analytical Hierarchy Process and Artificial Neural Networks are used in a cascading manner to develop the model for prediction of the vulnerability index.…

Taschenbuch. Etat : Neu. Neural Network Based Intelligent Process Control System | Deepak Kadam | Taschenbuch | 76 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786134928632 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

Taschenbuch. Etat : Neu. Vulnerability of Watersheds to Climate Change Assessed by Neural Network and Analytical Hierarchy Process | Uttam Roy (u. a.) | Taschenbuch | SpringerBriefs in Water Science and Technology | x | Englisch | 2016 | Springer | EAN 9789812873439 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Taschenbuch. Etat : Neu. Decoupling Neural Network Model Predictive Control | Algorithm Development and Application to Reactive Distillation Process | Abdulwahab Giwa | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783659350047 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

Taschenbuch. Etat : Neu. Modeling of 3D Grasping of Artificial Hand Under Dynamic Load | A Novel Approach to Control the Robotic Hand Grasping Process by Using Artificial Neural Network Algorithm | Ihsan A. Baqer (u. a.) | Taschenbuch | 228 S. | Englisch | 2015 | Scholars' Press | EAN 9783639761221 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

paperback. Etat : New. Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Pages Number: 189 Publisher: Science Press Pub. Date :2007-6-1. The book includes: artificial neural networks. neural processes. the process of feed-forward neural network. the process of neural network learning algorithm. the feedback process neural networks. multi-aggregation process neural networks. Contents: Chapter 1 Introduction 1.1 1.2 development of artificial intelligence artificial intelligence systems are characterized by fuzzy calculation 1.3 Computational Intelligence 1.3.1 1.3.2 1.3.4 Evolutionary Computation Neural Computation 1.3.3 three branches of the process of neural networks with 1.4 Chapter 2 artificial neural network biological neurons 2.1 2.2 2.3 Mathematical model of neuron feedforward feedback neural network 2.3.1 feedforward feedback neural network model 2.3.2 feedforward neural network function approximation ability before 2.3.3 feed-forward neural network computing 2.3.4 feedforward neural network learning algorithm 2.3.5 feedforward neural network generalization problems 2.3.6 feedforward neural network applications' 2.4 2.4.1 fuzzy fuzzy neural network neurons 2.4.2 2.5 nonlinear fuzzy neural network aggregation fraction of artificial neural networks 2.5.1 2.5.2 Aggregation great artificial neural network (or small) polymer artificial neural networks 2.5.3 Other non-linear 2.6 Aggregation of artificial neural network with temporal and spatial aggregation process neural network artificial neural network 2.7 Chapter 3 of the classification process of biological neurons neurons Inspiration 3.1 3.2 3.3 process definition process neurons and neurons during neural fuzzy functional 3.4 the process of neurons per 3.4.1 3.4.2 fuzzy fuzzy weighted by the fuzzy inference rules constructed during the process of neurons 3.5 complex function of neurons and feed-forward process in Chapter 4 4.1 feed forward neural network neural network during a simple model 4.2 feed forward neural network process model 4.3 based on the general right to start the process of function-based neural network model 4.4 feed forward neural network processes the basic theorem of the existence of solutions 4.4.2 4.4.1 4.4.3 Pan-continuity function approximation properties 4.4.4 4.5 fraction of computing power feed-forward neural network during the process of neuronal 4.5.2 4.5.1 fractional fractional process neural network model 4.6 are time-varying input and output functions of process neural network 4.6 4.6.2 .1 network continuity and approximation capability of the model 4.7 continuous process of continuous neural networks 4.7.1 4.7.2 continuous process neural network model 4.7.3 process neural model of continuity. capacity and computing power close to 4.8 functional neural networks 4.8.1 4.8.2 Functional feedforward neural functional neural network model 4.9 Conclusion Chapter 5. the process of neural network learning algorithm 5.1 Newton's method based on gradient descent and decrease the learning algorithm based on 5.1.1 The general gradient descent learning algorithm 5.1.2 Newton's method combined with a gradient-based learning algorithm based on Newton downhill method 5.1.3 The learning algorithm . . Chapter 6. the feedback process neural network aggregation process more than Chapter 7 Chapter 8 neural networks process neural network design and build Chapter 9 process neural network applications ReferencesFour Satisfaction guaranteed,or money back. …

paperback. Etat : New. Language:Chinese.Pages Number: 226 Publisher: Electronic Industry Press. Pub. Date :2010-06. This book describes the author and the team the latest academic research of artificial neural networks and investment thesis.

Hardcover. Etat : New. Language:Chinese.HardCover. Pub Date: 2025-01 Pages: 212 Publisher: Science Press Fault prediction is of great significance for ensuring the safe and reliable operation of liquid rocket engines. With the rapid development of data fusion. data mining. and deep learning technologies. data-driven fault prediction methods for liquid rocket engines have become a research focus in recent years. This book takes large hydrogen-oxygen rocket engines as the research object and systematically summarizes.…

paperback. Etat : New. Language:Chinese.Pub Date: 2014-04-01 Pages: 305 Publisher: National Defense Industry Press process neural network model and its engineering applications. will focus on wavelet process neural networks. the propagation neural network. Elman neural feedback process type Networks and double parallel process neural network model. discuss their learning algorithm. described in its generalization and application of technology. and aero-engine health management. for example. describes the process of.…

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This section will present a review of state of the current research pertaining to ANN applications in control & is specifically focused on ANN based speed control of permanent magnet dc motor drive. It will also cover a brief description of recent papers presenting the advancements in speed control of dc motor drives. The main source of literature happens to be Internet. Several internationally published papers were reviewed. 76 pp. Englisch.…

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The increase in GHG gases in the atmosphere due to expansions in industrial and vehicular concentration is attributed to warming of the climate world wide. The resultant change in climatic pattern can induce abnormalities in the hydrological cycle. As a result, the regular functionality of river watersheds will also be affected. This Brief highlights a new methodology to rank the watersheds in terms of its vulnerability to change in climate. This Brief introduces a Vulnerability Index which will be directly proportional to the climatic impacts of the watersheds. Analytical Hierarchy Process and Artificial Neural Networks are used in a cascading manner to develop the model for prediction of the vulnerability index. 100 pp. Englisch.…

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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The main aim of the study was to evaluate temperature influence in cutting zone on the forms of chip shapes during turning of Steel 30CrNiMo8. It is very important to use optimal machining parameters to get the best production results or to high control of the machining process. Temperature distribution in cutting zone during machining process could affect the forms of chip shapes and surface roughness as well. Surface roughness could be considered as the most important indicator for the machining process quality. Since many machining parameters could be changed in order to obtain optimal machining condition in this study the main aim was to determine the most important parameters of the process. Neuro-fuzzy approach was applied since it is highly suitable approach for the nonlinear system with many different parameters. It is found that spot temperature is more influential than maximal temperature during the machining process.…

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This section will present a review of state of the current research pertaining to ANN applications in control & is specifically focused on ANN based speed control of permanent magnet dc motor drive. It will also cover a brief description of recent papers presenting the advancements in speed control of dc motor drives. The main source of literature happens to be Internet. Several internationally published papers were reviewed.…

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Q-learning is a reinforcement learning technique that works by learning an action-value function that gives the expected utility of taking a given action in a given state and following a fixed policy thereafter. One of the strengths of Q-learning is that it is able to compare the expected utility of the available actions without requiring a model of the environment. A recent variation called delayed-Q learning has shown substantial improvements, bringing PAC bounds to Markov decision processes.…

Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kadam DeepakDr. Deepak Bhimrao Kadam Associate Prof.HOD Dept. of E TC(P.V.P.I.T BUDHGAON) Central NAAC Coordinator. He guided more than 30 projects & more than100 Seminars at U.G. level. Most of the project batches were participated .…

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