Boltzmann Machines Boltzmann machine refers to an association of uniformly associated neuron-like structure that make hypothetical decisions about whether to be on…
genetic algorithm
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Unsupervised Artificial Neural Networks Learning is a fundamental component required by every human being in the creation of intelligence. Humans derive their…
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Unsupervised ANNs Algorithms and Techniques Techniques and algorithms which are used in unsupervised ANNs involve self-organizing maps, restricted Boltzmann machines, autoencoders, etc.…
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Associate Memory Network An associate memory network refers to a content addressable memory structure that associates a relationship between the set of…
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Artificial Neural Network Adaptive Resonance Theory
Adaptive Resonance Theory The Adaptive Resonance Theory (ART) was incorporated as a hypothesis for human cognitive data handling. The hypothesis has prompted…
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Building Blocks Neural networks are made of shorter modules or building blocks, same as atoms in matter and logic gates in electronic…
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Genetic Algorithm Genetic algorithm (GAs) are a class of search algorithms designed on the natural evolution process. Genetic Algorithms are based on…
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Hopfield Network Hopfield network is a special kind of neural network whose response is different from other neural networks. It is calculated…
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Kohonen Self- Organizing Feature Map Kohonen Self-Organizing feature map (SOM) refers to a neural network, which is trained using competitive learning. Basic…
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Learning and Adaption Artificial Neural Network (ANN) is entirely inspired by the way the biological nervous system work. For Example, the human…