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www.michelecoscia.com | ||
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blog.otoro.net
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| | | | | [AI summary] This article describes a project that combines genetic algorithms, NEAT (NeuroEvolution of Augmenting Topologies), and backpropagation to evolve neural networks for classification tasks. The key components include: 1) Using NEAT to evolve neural networks with various activation functions, 2) Applying backpropagation to optimize the weights of these networks, and 3) Visualizing the results of the evolved networks on different datasets (e.g., XOR, two circles, spiral). The project also includes a web-based demo where users can interact with the system, adjust parameters, and observe the evolution process. The author explores how the genetic algorithm can discover useful features (like squaring inputs) without human intervention, and discusses the ... | |
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www.johnnylogic.org
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| | | | | [AI summary] This blog post introduces network science concepts, covering graph types, generative models, analysis methods, and applications like community detection and network diffusion. | |
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logaonresearch.wordpress.com
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| | | | | Fresher's guide to basic Social Network Analysis (SNA) Terminology: Alter A person to whom the focal individual is connected Betweenness centrality A measure of how often a given vertex lies on the shortest path between two other vertices, or the vertex's role as a 'bridge'/ quantifies the number of times a node acts as a... | |
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arcan-fe.com
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| | | 1 post published by bjornstahl on December 31, 2017 | ||
