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Learn C++ Optimization With A Genetic Algorithms Example

Solving C++ optimization problems are one of the areas of all quantitative disciplines from social science, economics to engineering fields such as computer science. Genetic Algorithm (GA) is a kind of machine learning process that is used to generate high-quality solutions to optimization and search problems by relying on biologically inspired operators such as mutation, crossover, and…
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Why You Should Know ELU Artificial Neural Net Functions

In this post, we will explain what an Exponential Linear Unit, or ELU, is. How can we make use of an ELU Activation Function? By learning all of these, you will be able to create C++ applications using C++ software. What do we need to know about activation functions? An Activation Function ( phi() ) also called as transfer function, or threshold function, determines the activation value…
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This Is How To Make Artificial Neuron Models in C++

What is a simple artificial neuron in C++? How can we code a simple AI neuron in C++? Should we use arrays, classes, or structs? In previous AI Tech posts, we answered all these questions. In this post, we will list all the simple AI models in C++. There can be many models depending on your research. We have tried to keep these posts simple to understand the different ways of AI programming in C++…
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AI Techs :: Minimum Edit Distance Method in Unicode Strings in C++

Inthe Artificial Intelligence Technology, mostly in the field of Natural Language Processing (NLP), Computer Linguistics and in other fields of Computer Science, The Edit Distance Methodis a way of quantifying how dissimilar two text far from each other in char comparison by counting the minimum number of operations required to transform one string into the other. Edit distances…
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