Artificial Neural Networks are simulated brain neurons. They can be used for pattern recognition in complex data structures, and are the future of machine learning and Artificially Intelligent systems. Currently Nnets are used for: voice recognition, bionics, computer vision, text recognition ect..
Nnets are an interconnected information processing structure, with x # of inputs, y # of outputs and z # of hidden layers. There are many forms of neural networks, and each one has different learning rules. The program contains multiple neural nets, each for a specialized function. This vastly increases the intelligence of the simulation.
The program overtime gains a higher expertise in communication, and problem solving.
The neural nets processing is scaled based on the hardware, by changing the number field.
There are a large number of tiles, bricks, and plants that can be drawn on the 2d plane.
Although seemingly complex, it is simply Organic Processing System simulation with ease of user input,
The concept for the program was a readily accessible mobile expansion to BG37ZX for exploring language, machine learning capabilities, and the future of shared processing practices.
2d plane interaction:
The neural net monitors ALL vital in game variables such as objects location, separate nodes variable outputs, all user interactions are monitored.
Three sine frequency output for which it can control the pitch and pattern.
Mini 2d bio-model (Blue droid, Red droid, White spider, Builder Spider, neuron plant) for which the neural net has the purpose of balancing each NPC fighting for control of particular neurons.
Multiple arrays for the neural net to store and retrieve data, including the tilemap texture (the ground on which the spider/droid game takes place.
The main function of the simulation is to create and communicate with simulated identities.
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