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Self-Tuning Fuzzy Rule Bases with Belief Structure
A fuzzy rule-based evidential reasoning (FURBER) approach has been proposed recently, where a fuzzy rule-base designed on the basis of a belief...
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Sensory Quality Management and Assessment: from Manufacturers to Consumers
This paper presents an intelligent technique based method for analyzing and interpreting sensory data provided by multiple panels for the evaluation...
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An Accelerated Robust Support Vector Machine Algorithm
This chapter proposes an accelerated decomposition algorithm for robust support vector machine (SVM). Robust SVM aims at solving the overfitting...
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Active-Set Methods for Support Vector Machines
This chapter describes an active-set algorithm for quadratic programming problems that arise from the computation of support vector machines (SVMs)....
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Data Mining for Maximal Frequent Patterns in Sequence Groups
In this paper, we give a general treatment for mining some kinds of sequences such as customer sequences, document sequences, and DNA sequences....
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Personalized Multi-Stage Decision Support in Reverse Logistics Management
Reverse logistics has gained increasing importance as a profitable and sustainable business strategy. As a reverse logistics chain has strong...
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Advanced Simulator Data Mining for Operators’ Performance Assessment
This chapter covers the use of data mining operations associated with power plant simulations for training and other purposes, such as risk...
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No music without melody: How to understand biochemical systems by understanding their dynamics
The dynamics of the concentration of biochemical species is a systems property that arises through the interaction of metabolites and other...
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Introduction to Pattern Recognition with Intelligent Systems
We describe in this book, new methods for intelligent pattern recognition using soft computing techniques. Soft Computing (SC) consists of several...
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Supervised Learning Neural Networks
In this chapter, we describe the basic concepts, notation, and basic learning algorithms for supervised neural networks that will be of great use for...
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Evolutionary Computing for Architecture Optimization
This chapter introduces the basic concepts and notation of evolutionary algorithms, which are basic search methodologies that can be used for...
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Intuitionistic and Type-2 Fuzzy Logic
We describe in this chapter two new areas in fuzzy logic, type-2 fuzzy logic systems and intuitionistic fuzzy logic. Basically, a type-2 fuzzy set is...
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Face Recognition with Modular Neural Networks and Fuzzy Measures
We describe in this chapter a new approach for face recognition using modular neural networks with a fuzzy logic method for response integration. We...
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Unsupervised Learning Neural Networks
This chapter introduces the basic concepts and notation of unsupervised learning neural networks. Unsupervised networks are useful for analyzing data...
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Radiolabeled Integrin αvβ3 Antagonists as Radiopharmaceuticals for Tumor Radiotherapy
Integrins are a family of proteins that facilitate cellular adhesion to and migration on the extracellular matrix proteins found in intercellular...
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6-Hydrazinonicotinamide Derivatives as Bifunctional Coupling Agents for 99mTc-Labeling of Small Biomolecules
99mTc-labeled small biomolecules are a class of receptor-based, target specific radiopharmaceuticals for the detection of various diseases, such as...
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New Organometallic Technetium Complexes for Radiopharmaceutical Imaging
It is the objective of this review to introduce the reader to the current status of organometallic chemistry, oriented towards the development of...
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Integration of metabolic and signaling networks
This contribution addresses the construction of mathematical models that provide a combined description of metabolic and regulatory processes within...
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Metabolic Control Analysis
Metabolic Control Analysis (MCA) is a theoretical framework for investigating and understanding control and regulation of metabolism. In particular,...
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Mesoscopic kinetics and its applications in protein synthesis
Molecular biology emerged through unification of genetics and nucleic acid chemistry that took place with the discovery of the double helix (Watson...