Search Results - (((((((ant OR kkantis) OR wantis) OR hints) OR cantor) OR anne) OR file) OR granting) algorithms.

The the Python Workshop : a Practical, No-Nonsense Introduction to Python Development. by Bird, Andrew

Table of Contents: “…Table of ContentsVital Python - Math, Strings, Conditionals, and LoopsPython StructuresExecuting Python - Programs, Algorithms, and FunctionsExtending Python, Files, Errors, and GraphsConstructing Python - Classes and MethodsThe Standard LibraryBecoming PythonicSoftware DevelopmentPractical Python - Advanced TopicsData Analytics with pandas and NumPyMachine Learning.…”
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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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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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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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TensorFlow Reinforcement Learning Quick Start Guide : Get up and Running with Training and Deploying Intelligent, Self-Learning Agents Using Python. by Balakrishnan, Kaushik

Table of Contents: “…Learning the theory behind a DQNUnderstanding target networks; Learning about replay buffer; Getting introduced to the Atari environment; Summary of Atari games; Pong; Breakout; Space Invaders; LunarLander; The Arcade Learning Environment ; Coding a DQN in TensorFlow; Using the model.py file; Using the funcs.py file; Using the dqn.py file; Evaluating the performance of the DQN on Atari Breakout; Summary; Questions; Further reading; Chapter 4: Double DQN, Dueling Architectures, and Rainbow; Technical requirements; Understanding Double DQN ; Coding DDQN and training to play Atari Breakout…”
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Handbook of Mathematical Induction. by Gunderson, David S.

Table of Contents: “…Chapter 14: Logic and languageChapter 15: Graphs; Chapter 16: Recursion and algorithms; Chapter 17: Games and recreations; Chapter 18: Relations and functions; Chapter 19: Linear and abstract algebra; Chapter 20: Geometry; Chapter 21: Ramsey theory; Chapter 22: Probability and statistics; Part III: Solutions and hints to exercises; Chapter 23: Solutions: Foundations; Chapter 24: Solutions: Inductive techniques applied to the infinite; Chapter 25: Solutions: Paradoxes and sophisms; Chapter 26: Solutions: Empirical induction; Chapter 27: Solutions: Identities.…”
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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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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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