GitHub Repo
https://github.com/RadomskiiDA/Classical-AI---modeling-of-electrolysis
Building a neural network by modeling electrolysis. Facial recognition. Electrolysis is a process consisting in the allocation of the electrodes of the component parts of dissolved substances under the influence of electric current. That is, when a direct current flows through the solution at the cathode K(-) and at the anode A (+), substances with different charges increase. A pulsed electric current passes through the neurons. This current also has a positive and negative region. I conducted the experiment with supply of 220V DC voltage through the water at a distance of 4 cm Turned out hydrogen, oxygen and a current of 1.5 A. the Current from continuously growing. After 15 minutes it was already more than 2A. The Internet is the answer to this phenomenon. Between electrodes iron bridges or threads are formed. The same process takes place in the brain. Why are threads built, not one thread? In the volume of the aqueous electrolyte solution, the electric field strength is close to zero. Do not think that if the electrodes during electrolysis applied potential difference, such as 5 V, at a distance between the electrodes 10 cm at any point in the solution ions are under the influence of an electric field of 0.5 V/cm (and thus move under the action of this field). This would indeed be the case if there was a non-conductive gas or non-polar liquid (e.g. benzene) between the electrodes. In electrolyte solutions, the electric field intensity away from the electrodes is practically zero. This happens for the following reason. When the electrodes are immersed in an electrolyte solution, a so-called double electrical layer appears near their surface. Part of the ions of one sign is adsorbed on the electrode; these charges attract ions of the opposite sign. As a result, at the boundary between the metal and the solution, a kind of flat capacitor is formed, in which the potential jump occurs. This model of the near-electrode process was proposed in 1879 by German scientist Hermann Helmholtz. Subsequent studies have shown that the double electric layer is more complicated: the thermal motion of the ions as it blurs the outer "capacitor plate", so that part of the ions leaves this plate in the so-called diffuse part of the double layer, and the other part remains near the surface. Therefore, the double layer consists of a dense part (in honor of the German physicist it is also called the Helmholtz layer) and a blurred diffuse part, and the potential decreases from the electrode more slowly. The size of the dense part is very small and comparable to the diameter of molecules and ions (tenths of a nanometer), while the diffuse part is usually much longer. Its specific size depends mainly on the electrolyte concentration and can vary from hundreds of nanometers (micrometer fraction) in very dilute solutions to several nanometers in concentrated electrolyte solutions. But in any case, this is a negligible distance compared to the size of the vessel with the solution. As a result of the formation of a double electric layer near the electrodes, the potential difference in the electrolyte when moving from the cathode to the anode changes almost only in the immediate vicinity of the electrodes, abruptly falling to zero at a very small distance from the electrode. In the volume of the solution, the ions make only thermal (diffusion) movements. And only once in the area immediately adjacent to the electrode, the ions begin to move in a directed manner under the action of the electric potential. https://studopedia.su/12_131859_paradoksi-elektroliza.html In short, I propose to allocate the volume - vector of the matrices. Then simulate the flow of electricity, magnetism, heat, electrolysis through this area. It is necessary to achieve the creation of stable neural threads.
GitHub Repo
https://github.com/CY-Jenny/PaperCodes
Codes for article "Stationarity Fusion with SVM: A Stationary Combined Features Support Vector Machine Approach for Blast Furnace Iron-making Process Fault Diagnosis"
GitHub Repo
https://github.com/mohaslimani/FdF
computer graphics, 3d projection, vectors, bresenham algorithm, 3d rotation. Let’s discover something more exciting: how to open a graphics window and draw inside? To start your journey in graphic programming, FdF offers to represent “iron wire” meshing in 3D.
GitHub Repo
https://github.com/permanentdaylight/vector_victor
Vector Victor - Iron Yard
GitHub Repo
https://github.com/neon-softhamster/B_field_source_reconstruction
Script generates magnetic vector field of a spheres. Than special algorithm calculates coordinates of sphere using only vector field data. Potentially this teqnique allows looking for iron ore under Earth surface using only field measuring.
GitHub Repo
https://github.com/benbryansallao/TheBlueprint-iron-man-simulation
Iron man blueprint simulation. Using HTML, CSS, JS and layers or vector images.
GitHub Repo
https://github.com/mhowerton91/history
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