MindSpeak.NeuralNet.Synthetic - Revision history

XenoEngineer: /* See Also */

2024-11-07T01:57:52Z

XenoEngineer: /* Methods */

2024-11-07T01:56:46Z

Methods

← Older revision		Revision as of 01:56, 7 November 2024
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	=== Methods ===		=== Methods ===

	.signal(inputPattern): Propagates input pattern through the network, updating activation levels based on connection strengths.		* .signal(inputPattern): Propagates input pattern through the network, updating activation levels based on connection strengths.
	.train(inputPatterns, outputPatterns, learningRate = 0.2): Adjusts connectionMatrix using backpropagation algorithm to improve prediction accuracy for given input-output pairs.		* .train(inputPatterns, outputPatterns, learningRate = 0.2): Adjusts connectionMatrix using backpropagation algorithm to improve prediction accuracy for given input-output pairs.
	.predict(inputPattern): Returns the most likely neuron(s) state(s) based on propagated input pattern and current connection strengths.		* .predict(inputPattern): Returns the most likely neuron(s) state(s) based on propagated input pattern and current connection strengths.

	== See Also ==		== See Also ==

	[[NeuralNet\|Neural Network]], [[MindSpeak\|MindSpeak System]]		[[NeuralNet\|Neural Network]], [[MindSpeak\|MindSpeak System]]

XenoEngineer: Created page with "{{menuMindSpeak}} == NeuralNet.Synthetic - Synthetic Circuit == A NeuralNet component representing a synthetic neural network designed to model and interact with artificial intelligence systems. It inherits properties from its parent type Neural Network, but may include additional features tailored for digital environments. === Properties === patterns: An array of floating-point numbers representing neuron activation levels in the synthetic circuit. size..."

2024-11-07T01:56:03Z

Created page with "{{menuMindSpeak}} == NeuralNet.Synthetic - Synthetic Circuit == A NeuralNet component representing a synthetic neural network designed to model and interact with artificial intelligence systems. It inherits properties from its parent type Neural Network, but may include additional features tailored for digital environments. === Properties === patterns: An array of floating-point numbers representing neuron activation levels in the synthetic circuit. size..."

New page

{{menuMindSpeak}}

== NeuralNet.Synthetic - Synthetic Circuit ==
A NeuralNet component representing a synthetic neural network designed to model and interact with artificial intelligence systems. It inherits properties from its parent type [[NeuralNet|Neural Network]], but may include additional features tailored for digital environments.

=== Properties ===

patterns: An array of floating-point numbers representing neuron activation levels in the synthetic circuit.
size: The number of neurons in the synthetic circuit (derived from patterns length).
connectionMatrix: A 2D matrix storing synaptic weights between neurons, enabling information flow. Defaults to randomly initialized values between -1 and 1.
=== Methods ===

.signal(inputPattern): Propagates input pattern through the network, updating activation levels based on connection strengths.
.train(inputPatterns, outputPatterns, learningRate = 0.2): Adjusts connectionMatrix using backpropagation algorithm to improve prediction accuracy for given input-output pairs.
.predict(inputPattern): Returns the most likely neuron(s) state(s) based on propagated input pattern and current connection strengths.
== See Also ==

[[NeuralNet|Neural Network]], [[MindSpeak|MindSpeak System]]

← Older revision		Revision as of 01:57, 7 November 2024
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	== See Also ==		== See Also ==

	[[NeuralNet\|Neural Network]], [[MindSpeak\|MindSpeak System]]		[[NeuralNet\|Neural Network]], [[MindSpeak —A Consciousness-Oriented Domain Specific Language\|MindSpeak System]]