Knowledge-Based Classification Algorithms Knowledge-Based Classification Algorithms Knowledge-based classification algorithms refer to a category of machine learning algorithms that employ pre-existing knowledge or rules to classify novel instances or data points. The algorithms in question are dependent on a knowledge base, which is a compilation of established patterns, rules, or associations among attributes, for the purpose of predicting outcomes or assigning class designations to unobserved data. In contrast to conventional classification algorithms that acquire patterns or rules directly from the training data, knowledge-based classification algorithms utilise pre-existing knowledge or domain expertise to steer the classification procedure. Pre-existing knowledge can be sourced from human experts or obtained from pre-existing resources such as databases, ontologies, or expe...
Cow dung: 🐮🌾🧩 Lime: 🏻🧑🔬🔳 Sodium silicate: 🔰🧑💼👀 "Yes, 🙌 cow dung bricks 🧩 can also be made 💡 using the combination 💼 of cow dung, 🐮 lime, 🏻 and sodium silicate. 🔰 Here are the suggested properties 🧑🔬 of the ingredients 🧑💼 that need to be checked 🔳 before using them 🏻 for cow dung brick making: 🐮🏻🧑🔬🌾🧩" Properties of Cow Dung: Moisture content: should be around 15-20% Ash content: should be less than 10% pH value: should be neutral to slightly acidic (around 6-7) Fibre content: should be less...