Search Results - (((((((ant OR kkantis) OR mantis) OR hints) OR cantor) OR anne) OR file) OR grkanting) algorithms.

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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Essential MATLAB for engineers and scientists by Hahn, Brian D.

Table of Contents: “…MATLAB fundamentals -- Program design and algorithm development -- MATLAB functions data import-export utilities -- Logical vectors -- Matrices of numbers arrays of strings -- Introduction to graphics -- Loops -- Errors and pitfalls -- Function M-files -- Vectors as arrays: advanced data structures -- More graphics -- Graphical User Interfaces (GUIs) -- Dynamics systems -- Simulation -- More matrices -- Introduction to numerical methods -- Toolboxes that come with MATLAB (web chapter).…”
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Metaheuristics for intelligent electrical networks by Héliodore, Frédéric, Nakib, Amir, Ismail, Boussaad, Ouchraa, Salma, Schmitt, Laurent

Table of Contents: “…2.2.1. Genetic algorithms2.2.2. Evolution strategies; 2.2.3. Coevolutionary algorithms; 2.2.4. …”
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Analysis of biological data : a soft computing approach

Table of Contents: “…Feature selection for cancer classification using ant colony optimization and support vector machines / A. …”
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Java Deep Learning Projects : Implement 10 Real-World Deep Learning Applications Using Deeplearning4j and Open Source APIs. by Karim, Rezaul

Table of Contents: “…; Artificial Neural Networks; Biological neurons; A brief history of ANNs; How does an ANN learn?; ANNs and the backpropagation algorithm; Forward and backward passes; Weights and biases; Weight optimization; Activation functions.…”
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Implementing cryptography using Python by Bray, Shannon, 1972-

Table of Contents: “…Using Strings -- Introducing Operators -- Understanding Arithmetic Operators -- Understanding Comparison Operators -- Understanding Logical Operators -- Understanding Assignment Operators -- Understanding Bitwise Operators -- Understanding Membership Operators -- Understanding Identity Operators -- Using Conditionals -- Using Loops -- for -- while -- continue -- break -- else -- Using Files -- Understanding Python Semantics -- Sequence Types -- Introducing Custom Functions -- Downloading Files Using Python -- Introducing Python Modules -- Creating a Reverse Cipher -- Summary…”
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Comprehensive Ruby Programming. by Hudgens, Jordan

Table of Contents: “…-- A better way -- SOLID OOP development -- the Liskov substitution principle -- The LSP definition -- Breaking down the LSP -- The LSP example -- The problem -- The LSP violation -- The fix -- SOLID OOP development -- the interface segregation principle -- The ISP definition -- The ISP code example -- Introducing the moderator -- A better way -- The result -- A caveat -- SOLID OOP development -- the dependency inversion principle -- The DIP in the real world -- The DIP definition -- The DIP code example -- Recap -- Summary -- Chapter 10: Working with the Filesystem in Ruby -- Creating a file -- Ruby File class -- Other options you can pass as the second option -- Reading files into a program using the File class -- Deleting a file -- Appending a file.…”
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Digital Signal Processing and Applications with the OMAP - L138 EXperimenter. by Reay, Donald S.

Table of Contents: “…1.5.1 Initialization and Configuration File (L138_aic3106_init.c) -- 1.5.2 Header File (L138_aic3106_init.h) -- 1.5.3 Vector Files (vectors_intr.asm and vectors_poll.asm) -- 1.5.4 Linker Command File (linker_dsp.cmd) -- Exercises -- References -- 2. …”
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Essential MATLAB for engineers and scientists by Hahn, Brian D., Valentine, Daniel T., 1946-

Table of Contents: “…Introduction -- MATLAB fundamentals -- Program design and algorithm development -- MATLAB functions and data import-export utilities -- Logical vectors -- Matrices and arrays -- Function M-files -- Loops --MATLAB graphics -- Vectors as arrays and other data structures -- Errors and pitfalls -- Dynamical systems -- Simulation -- Introduction to numerical methods -- Signal processing -- SIMULINK® toolbox -- Symbolics toolbox -- Appendix A: Syntax quick reference -- Appendix B: Command and function quick reference --Appendix C: ASCII Character Codes -- Appendix D: Solutions to selected exercises.…”
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Focus on artificial neural networks

Table of Contents: “…ARTIFICIAL NEURAL NETWORKS (ANNS) -- 3. MICROEMULSIONS -- 4. APPLICATION OF ANNS IN THE DEVELOPMENT OF MICROEMULSION DRUG DELIVERY SYSTEMS -- 4.1. …”
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Python : an Introduction to Programming. by Parker, James R.

Table of Contents: “…Cover; Title; Copyrights; Contents; Preface; Chapter 0 Modern Computers; Chapter 1 Computers and Programming; Chapter 2 Repetition; Chapter 3 Sequences: Strings, Tuples, and Lists; Chapter 4 Functions; Chapter 5 Files: Input and Output; Chapter 6 Classes; Chapter 7 Graphics; Chapter 8 Manipulating Data; Chapter 9 Multimedia; Chapter 10 Basic Algorithms; Chapter 11 Programming for the Sciences; Chapter 12 How to Write Good Programs; Chapter 13 Communicating with the Outside World; Chapter 14 A Brief Glib Reference; Index.…”
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Selling digital music, formatting culture by Morris, Jeremy Wade, 1976-

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OIPE 2012

Table of Contents: “…N-level output space mapping for electromagnetic design optimizationHigh-speed functionality optimization of five-phase PM machine using third harmonic current; Topology optimization of magnetostatic shielding using multistep evolutionary algorithms with additional searches in a restricted design space ; Adaptive unscented transform for uncertainty quantification in EMC large-scale systems; Ant colony optimization for the topological design of interior permanent magnet (IPM)machines; Multiobjective approach developed for optimizing the dynamic behavior of incremental linear actuators.…”
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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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BigNum Math : Implementing Cryptographic Multiple Precision Arithmetic.

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MATLAB for Machine Learning. by Ciaburro, Giuseppe

Table of Contents: “…; Data mining and data visualization; Regression analysis; Classification; Cluster analysis; Dimensionality reduction; Neural Network Toolbox; Statistics and algebra in MATLAB; Summary; Chapter 2: Importing and Organizing Data in MATLAB; Familiarizing yourself with the MATLAB desktop; Importing data into MATLAB; The Import Wizard; Importing data programmatically; Loading variables from file; Reading an ASCII-delimited file; Comma-separated value files; Importing spreadsheets.…”
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Visual Data Mining : The VisMiner Approach. by Anderson, Russell K.

Table of Contents: “…Regression Analysis -- The Regression Model -- Correlation and Causation -- Algorithms for Regression Analysis -- Assessing Regression Model Performance -- Model Validity -- Looking Beyond R2 -- Polynomial Regression -- Artificial Neural Networks for Regression Analysis -- Dataset Preparation -- Tutorial -- A Regression Model for Home Appraisal -- Modeling with the Right Set of Observations -- Exercise 6.1 -- ANN Modeling -- The Advantage of ANN Regression -- Top-Down Attribute Selection -- Issues in Model Interpretation -- Model Validation -- Model Application -- Summary…”
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Comorbidity in migraine

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Computer principles and design in Verilog HDL by Li, Yamin

Table of Contents: “…Chapter 3: Computer Arithmetic Algorithms and Implementations3.1 Binary Integers; 3.2 Binary Addition and Subtraction; 3.3 Binary Multiplication Algorithms; 3.4 Binary Division Algorithms; 3.5 Binary Square Root Algorithms; Exercises; Chapter 4: Instruction Set Architecture and ALU Design; 4.1 Instruction Set Architecture; 4.2 MIPS Instruction Format and Registers; 4.3 MIPS Instructions and AsmSim Tool; 4.4 ALU Design; Exercises; Chapter 5: Single-Cycle CPU Design in Verilog HDL; 5.1 The Circuits Required for Executing an Instruction; 5.2 Register File Design.…”
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Data Analytics Applied to the Mining Industry. by Soofastaei, Ali

Table of Contents: “…Advanced Data Analytics -- Introduction -- Big Data -- Analytics -- Deep Learning -- CNNs -- Deep Neural Network -- Recurrent Neural Network (RNN) -- ML -- Fuzzy Logic -- Classification Techniques -- Clustering -- Evolutionary Techniques -- Genetic Algorithms (GAs) -- Ant Colony Optimization (ACO)…”
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