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Prediction of Software Reliability Using Neural Network & Fuzzy Logic

reliability growth models in various applications. The reported results using neural networks and fuzzy logic can improve the software reliability;

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Artificial Neural Network Applications for Software Reliability Prediction

This book provides a starting point for software professionals to apply artificial neural networks for software reliability prediction;

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Computational Intelligence Techniques and Their Applications to Software Engineering Problems

introduced with their applications in software engineering. The field of knowledge discovery is explored using neural networks and data mining;

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Soft Computing with NeuroFuzzy Systems

diagnosis system based on artificial neural network (ANN); reliability estimation of services oriented systems using adaptive neuro fuzzy inference;

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New Backpropagation Algorithm with Type-2 Fuzzy Weights for Neural Networks

In this book a neural network learning method with type-2 fuzzy weight adjustment is proposed. The mathematical analysis of the proposed;

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Fuzzy Logic Augmentation of Neural and Optimization Algorithms Theoretical Aspe

This book comprises papers on diverse aspects of fuzzy logic, neural networks, and nature-inspired optimization meta-heuristics and their;

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Knowledge-Based Neurocomputing

that inferring the FARB, using standard tools from fuzzy logic theory, yields an input-output map that is mathematically equivalent to that;

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Deep Neuro-Fuzzy Systems with Python

world. This book simplifies the implementation of fuzzy logic and neural network concepts using Python. You'll start by walking through;

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Neural Networks & Fuzzy-Logic Control On Personal Computers & Workstations + D3

algorithms with pulldown menus. This hands-on tutorial demonstrates both neural networks and fuzzy-logic control with a different approach. A natural;

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Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine

This book describes the latest advances in fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations;

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Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine

This book describes the latest advances in fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations;

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Brain-Body Interactions

unknown areas in medicine (artificial neural networks) and grey zones in diagnoses and prognoses (fuzzy logic inferences). This monograph also;

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Prediction of Vibrations & Cutting force of single point cutting tool in turning by using Artificial Neural Network

Prediction of Vibrations & Cutting Force of Single Point Cutting Tool in Turning by Using Artificial Neural Network is een boek van Matin;

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New Developments in Computer Networks

of prediction performance based on real network traffic; network security; a modified artificial neural network based approach to add new data in a;

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Fuzzy Logic Hybrid Extensions of Neural and Optimization Algorithms

We describe in this book, recent developments on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid;

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Neural Fuzzy Control Systems With Structure And Parameter Learning

A general neural-network-based connectionist model, called Fuzzy Neural Network (FNN), is proposed in this book for the realization of a;

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Next Generation and Advanced Network Reliability Analysis

This book covers reliability assessment and prediction of new technologies such as next generation networks that use cloud computing;

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Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms

This book describes the latest advances in fuzzy logic, neural networks, and optimization algorithms, as well as their hybrid intelligent;

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Methodologies Of Using Neural Network And Fuzzy Logic Technologies For Motor Incipient Fault Detection

maturing technology of artificial neural network and fuzzy logic, the motor fault detection problem can be solved using an innovative approach;

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Artificial Neural Networks

. Section 1 focuses on Biological neural networks, describing: spike activity prediction based on multi-neuron spike train data, neuromorphic;

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Uncertain Rule-Based Fuzzy Logic Systems

For courses in Neural Networks and Fuzzy Systems; Fuzzy Systems/Control; Fuzzy Logic.The first book of its kind, this text explains how all;

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Recent Advances of Hybrid Intelligent Systems Based on Soft Computing

This book describes recent advances on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, and;

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Introduction to Fuzzy Reliability

perspectives. Chapter 8 discusses how to model software reliability behavior by using fuzzy methodology. Chapter 9 includes a number of mathematical;

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Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision Tools

decision tools can make deep neural networks more interpretable - and even, in many cases, more efficient. Fuzzy logic together with multi;

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Fuzzy Neural Intelligent Systems

networks, offers a better way of combining fuzzy logic systems with neural networks, and explores some of their engineering applications. Dividing;

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Computational Intelligence

Computational Intelligence: Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing presents an introduction to some of the;

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Neuro-Fuzzy Equalizers for Mobile Cellular Channels

channel equalization with neural networks and fuzzy logic, and classifies various equalizers.This being a fairly new branch of study, the book;

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