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Neural Networks and Other Soft Computing Techniques with applications in the oil industry

An in-depth but easy to follow overview of Neural Networks ( NN ), Fuzzy Logic ( FL ), and Genetic Algorithms ( GA ) technologies;

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Fundamentals of Soft Computing and Intelligent System

in nature. The book discusses: The basics of soft computing, its importance and applications in various fields with suitable examples. The use;

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Applied Neural Networks and Soft Computing

Applied Neural Networks and Soft Computing examines the relation between neural networks and soft computing. Neural network is a system;

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Type 2 Fuzzy Neural Networks and Their Applications

with other paradigms of Soft Computing technology such as Neuro-Computing and Evolutionary Computing. It provides a self-contained exposition;

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Intelligent Adaptive Control: Industrial Applications

: an introduction to the fundamentals of neural networks, fuzzy logic, and evolutionary computing a rigorous treatment of intelligent;

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Soft Computing Applications

the latest advances in and applications of soft computing techniques in multidisciplinary areas. Gathering papers presented at the;

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Neural Network Analysis, Architectures and Applications

Neural Network Analysis, Architectures and Applications discusses the main areas of neural networks, with each authoritative chapter;

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Soft Computing Based Medical Image Analysis

Soft Computing Based Medical Image Analysis presents the foremost techniques of soft computing in medical image analysis and processing;

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Recent Developments and New Directions in Soft Computing

The book reports on the latest advances and challenges of soft computing. It gathers original scientific contributions written by top;

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Applications of Soft Computing in Time Series Forecasting

modeling and also provides a brief introduction to other soft-computing techniques, such as artificial neural networks (ANNs), rough sets (RS) and;

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Applications of Soft Computing in Time Series Forecasting

modeling and also provides a brief introduction to other soft-computing techniques, such as artificial neural networks (ANNs), rough sets (RS) and;

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Soft Computing Techniques in Engineering, Health, Mathematical and Social Sciences

in engineering, health, and social and applied sciences. Different soft computing techniques such as artificial neural networks, fuzzy systems;

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Recent Advances on Hybrid Approaches for Designing Intelligent Systems

contains papers that deal with new models and applications of neural networks in real world problems. The fourth part contains papers with the;

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Machine Intelligence and Soft Computing

This book gathers selected papers presented at the International Conference on Machine Intelligence and Soft Computing (ICMISC 2020), held;

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Soft Computing for Biomedical Applications and Related Topics

' decisions - by using machine learning techniques such as neural networks. The book describes state-of-the-art fuzzy, neural, and other techniques;

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Application of Soft Computing and Intelligent Methods in Geophysics

This book provides a practical guide to applying soft-computing methods to interpret geophysical data. It discusses the design of neural;

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Soft Computing Methods for System Dependability

been based on soft computing methods; however, there lacks a considerable amount of research on the applications of these techniques within;

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Intelligent Control Systems Using Soft Computing Methodologies

, and energy management systems. The book concludes with the integration of genetic algorithms into the paradigm of soft computing methodologies;

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Soft Computing Applications

related to the Soft Computing. The book is directed to professors, researchers, and graduate students in area of soft computing techniques and;

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Soft Computing Applications

related to the Soft Computing. The book is directed to professors, researchers, and graduate students in area of soft computing techniques and;

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Application of Soft Computing Techniques in Civil Engineering

consuming when dealing with real-life problems. To study, model and analyse such problems, approximate computer-based soft computing techniques;

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Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms

. The chapters start with the design of a new fuzzy-neural controller. Remaining chapters discuss the application of expert systems, neural;

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Neural Information Processing

computing; human centred computing and medicine; human centred computing for emotion; hybrid models; image processing by neural techniques; learning;

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Intelligent Computing and Applications

neural networks, fuzzy systems, evolutionary algorithms, hybrid intelligent systems, uncertain reasoning techniques, and other machine learning;

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Hierarchical Modular Granular Neural Networks with Fuzzy Aggregation

applied in two levels. The techniques used and combined in the proposed method are modular neural networks (MNNs) with a Granular Computing (GrC;

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Applications of Soft Computing

comprehensive overview of the recent advances in the industrial applications of soft computing and covers a wide range of application areas, including;

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Soft Computing Techniques and Applications

and applications of soft computing with other emerging research domains, this book cherishes varieties of modern applications in the fields;

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