Search Results - (((((((want OR canton) OR span) OR wants) OR cantor) OR anne) OR carter) OR anting) algorithms.

Intelligent Technologies : From Theory to Applications - The New Trends in Computational Intelligence. by Kvasnicka, V.

Table of Contents: “…Neural Networks; Superconvergence Concept in Machine Learning; Application of the Parallel Population Learning Algorithm to Training Feed-forward ANN; Markovian Architectural Bias of Recurrent Neural Networks; SOFM Training Speedup; Generalized Forecasting Sigma-Pi Neural Network; Human Centered Intelligent Robots Using "Ontological Neural Network"; Trajectory Bounds of Solutions of Delayed Cellular Neural Networks Differential Systems; From Plain to Modular Topology: Automatic Modularization of Structured ANNs.…”
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Power systems applications of graph theory by Zhu, Jizhong, 1961-

Table of Contents: “…Primal-Dual Algorithm; 4.4. MINIMUM SPANNING TREE; 4.4.1. Prim's Algorithm; 4.4.2. …”
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Artificial intelligence : approaches, tools, and applications

Table of Contents: “…EVOLUTIONARY COMPUTING ; 2.1. Genetic Algorithms ; 2.2. Mechanism of a Genetic Algorithm ; 3. …”
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Recent advances in hybrid metaheuristics for dataclustering

Table of Contents: “…Cover -- Title Page -- Copyright -- Contents -- List of Contributors -- Series Preface -- Preface -- Chapter 1 Metaheuristic Algorithms in Fuzzy Clustering -- 1.1 Introduction -- 1.2 Fuzzy Clustering -- 1.2.1 Fuzzy c-means (FCM) clustering -- 1.3 Algorithm -- 1.3.1 Selection of Cluster Centers -- 1.4 Genetic Algorithm -- 1.5 Particle Swarm Optimization -- 1.6 Ant Colony Optimization -- 1.7 Artificial Bee Colony Algorithm -- 1.8 Local Search-Based Metaheuristic Clustering Algorithms -- 1.9 Population-Based Metaheuristic Clustering Algorithms -- 1.9.1 GA-Based Fuzzy Clustering…”
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Information technology applications in industry III : selected, peer reviewed papers from the 2014 3rd International Conference on Information Technology and Management Innovation...

Table of Contents: “…A Hybrid Simulate Annealing Algorithm Based on Aircraft Emergency Dispatching SystemA Variable Step-Size BLMS Adaptive Jamming Cancellation Algorithm Based on FFT; Adaptive Extended Kalman Filter for Nonlinear System with Noise Compensating Technology; An Improvement of Apriori Algorithm in Medical Data Mining; An Integrated Algorithm for Low-Carbon City Evaluation Based on Neural Network and Analytic Hierarchy Process; Reliability Optimization for Multi-State Series-Parallel System Design Using Ant Colony Algorithm…”
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Industrial Engineering Foundations : Bridging the Gap Between Engineering and Management. by Sassani, Farrokh

Table of Contents: “…5.2 Definition of Scheduling Terms5.3 Scheduling Algorithms; 5.3.1 Objectives in Scheduling Problems; 5.3.2 Industrial Problems; 5.3.3 The Practice; 5.4 n-Job 1-Machine Problem; 5.4.1 Classification of Scheduling Problems; 5.5 Johnson's Algorithm; 5.6 Johnson's Extended Algorithm; 5.7 Jackson's Algorithm; 5.8 Akers' Algorithm; 5.9 The Branch and Bound Method; 5.9.1 Lower Bounds for Completion Time; 5.9.2 Branch and Bound Algorithm; 5.10 Mathematical Solutions; 5.11 Closing Remarks; Exercises; Chapter 6 Forecasting; 6.1 Introduction; 6.1.1 Pre-Forecasting Analysis; 6.1.2 Forecasting Horizon.…”
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Integration of swarm intelligence and artificial neural network

Table of Contents: “…Dehuri -- Coherent biclusters of microarray data by imitating the ecosystem : an ant colony algorithmic approach / D. Mishra, A.K. …”
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Numerical linear algebra with applications : using MATLAB by Ford, William H.

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Data Analytics in Bioinformatics : A Machine Learning Perspective. by Satpathy, Rabinarayan

Table of Contents: “…3.4.1 Comparative Analysis of ANN With Broadly Used Traditional ML Algorithms -- 3.5 Critical Analysis -- 3.6 Conclusion -- References -- Part 2: MACHINE LEARNING AND GENOMIC TECHNOLOGY, FEATURE SELECTION AND DIMENSIONALITY REDUCTION -- 4 Dimensionality Reduction Techniques: Principles, Benefits, and Limitations -- 4.1 Introduction -- 4.2 The Benefits and Limitations of Dimension Reduction Methods -- 4.3 Components of Dimension Reduction -- 4.3.1 Feature Selection -- 4.3.2 Feature Reduction -- 4.4 Methods of Dimensionality Reduction -- 4.4.1 Principal Component Analysis (PCA)…”
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Bridge health monitoring, maintenance and safety : special topic volume with invited peer reviewed papers only

Table of Contents: “…Modal test and analysis of a bridge under the varying temperature condition -- Bridge significant failure mode identification strategy under traffic-load -- Fatigue reliability analysis of the stay cables of cable-stayed bridge under combined loads of stochastic traffic and wind -- Updating the finite element model of a bridge model using a hybrid optimization method -- An improved Taguchi method and its application in finite element model updating of bridges -- Nonlinear seismic response analysis of half through CFST arch bridge under 3-D earthquake waves -- Simplified seismic response assessment method and parametric study of multi-girder skew bridges -- Seismic testing of a long-span concrete filled steel tubular arch bridge -- Study on finite element model of bridge multi-pile foundation -- Sensor optimal placement for bridge structure based on single parents genetic algorithm with different fitness functions.…”
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Agent-based computing

Table of Contents: “…Analysis of Algorithm -- 2.1.1. Chain-Like Agent Structure -- 2.1.2. …”
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Integer and Combinatorial Optimization. by Wolsey, Laurence A.

Table of Contents: “…The Ellipsoid Algorithm.…”
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OpenCV with Python by example : build real-world computer vision applications and develop cool demos using OpenCV for Python by Joshi, Prateek

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Advances in Knowledge-Based and Intelligent Engineering and Information Systems by Frydman, Claudia

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Discriminant Analysis and Clustering.

Table of Contents: “…COVER -- COPYRIGHT -- PREFACE -- TABLE OF CONTENTS -- CHAPTER 1 INTRODUCTION -- CHAPTER 2 METHODS -- 2.1 INTRODUCTION -- 2.2 METHODS OF DISCRIMINANT ANALYSIS -- 2.2.1 General Remarks -- 2.2.2 Classical Two-group Linear Discriminant Analysis -- 2.2.3 Classification Into One of Several Populations -- 2.2.4 Heterogeneous Covariance Matrices Case -- 2.2.5 Two-group Classification by Logistic Regression -- 2.2.6 Kernel and Nearest Neighbor Methods -- 2.2.7 Classification Trees -- 2.3 METHODS OF CLUSTER ANALYSIS -- 2.3.1 General Remarks -- 2.3.2 Algorithms -- 2.3.3 Perspective -- CHAPTER 3 THEORY -- 3.1 INTRODUCTION -- 3.2 THEORETICAL ISSUES IN DISCRIMINANT ANALYSIS -- 3.2.1 Introduction -- 3.2.2 The Fisher Linear Discriminant and Some of Its Children -- 3.2.3 Estimating Misclassification Costs -- 3.2.4 Nonparametric Techniques -- 3.3 STATISTICAL THEORY IN CLUSTERING -- 3.3.1 Introduction -- 3.3.2 High Density Clusters -- 3.3.3 Agglomerative Methods for High Density Clusters -- 3.3.4 Single Linkage, the Minimum Spanning Tree and Percolation -- 3.3.5 Mixtures -- 3.3.6 The Number of Clusters: Modes -- 3.3.7 The Number of Clusters: Components -- 3.3.8 Ultrametric and Evolutionary Distances -- CHAPTER 4 SOFTWARE AND ALGORITHM IMPLEMENTATION -- 4.1 INTRODUCTION -- 4.2 DISCRIMINANT ANALYSIS -- 4.2.1 Linear and Quadratic Discriminant Functions -- 4.2.2 Review of Packages -- 4.2.3 Logistic Regression -- 4.2.4 Classification Trees -- 4.3 CLUSTER ANALYSIS -- 4.3.1 Collections of Subroutines and Algorithms -- 4.3.2 Cluster Analysis Packages -- 4.3.3 Simple Cluster Analysis Programs -- 4.4 NEEDS -- CHAPTER 5 CLOSING PERSPECTIVE.…”
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Bio-inspired computation in telecommunications

Table of Contents: “…Bio-inspired optimization algorithms; 1.4.1. SI-Based Algorithms; 1.4.1.1. Ant and bee algorithms; 1.4.1.2. …”
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Fast sequential Monte Carlo methods for counting and optimization by Rubinstein, Reuven Y.

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Optimization of Logistics. by Yalaoui, Alice

Table of Contents: “…2.4.1. Genetic algorithms2.4.2. Ant colonies; 2.4.3. Tabu search; 2.4.4. …”
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Fast facts for nurses

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Future Farming. by Shukla, Praveen Kumar

Table of Contents: “…PROPOSED METHODOLOGY -- Pre-processing -- Leaf Image from Plants -- Segmentation Model Using Improved Canny Algorithm -- Steps of Improved Canny Algorithm -- Leaf Image Feature Selection Using Hybrid Black Widow Optimization Algorithm with Mayfly Optimization Algorithm (BWO-MA) -- Pseudo-Code of the Hybrid (BWO-MA) Algorithm -- Output: Objective Function's -RMSE -- Leaf Image Classification Using (BWO-MA) with ANN -- Hyper-Parameter Tuning With (BWO-MA) -- RESULT AND DISCUSSION -- Dataset Description -- Evaluation & Results -- CONCLUSION -- REFERENCES…”
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