Connectionist Model

Neural Network - A neural network consists of one or more layers of neurons connected by weighted links with adjustable weights. Neural networks receive input data and produce an output by passing it through the network, with each neuron performing a simple computation. Although some neural networks aim to simulate the functioning of biological neurons in the nervous system, most neural networks in artificial intelligence are engineering tools that draw only loose inspiration from biology.

Class Information

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Identification

Label (rdfs)
Neural Network
Preferred Label
Connectionist Model
Alternative Labels
Artificial Neural Network, Deep Neural Network
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Definition and Examples

Definition
A neural network consists of one or more layers of neurons connected by weighted links with adjustable weights. Neural networks receive input data and produce an output by passing it through the network, with each neuron performing a simple computation. Although some neural networks aim to simulate the functioning of biological neurons in the nervous system, most neural networks in artificial intelligence are engineering tools that draw only loose inspiration from biology.
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Class Relationships

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Additional Information

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Deprecated
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Metadata

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Graph

Neural NetworkNeural Network - A neural network consists of one or more layers of neurons connected by weighted links with adjustable weights. Neural networks receive input data and produce an output by passing it through the network, with each neuron performing a simple computation. Although some neural networks aim to simulate the functioning of biological neurons in the nervous system, most neural networks in artificial intelligence are engineering tools that draw only loose inspiration from biology.AI Technical System AttributesAI Technical System Attributes - AI Technical System Attributes refer to the specific characteristics, functionalities, and methodologies that define the operation and capabilities of artificial intelligence systems. These attributes encompass various elements such as adaptiveness, learning paradigms, human-centered considerations, and technical architectures that collectively determine the system's performance and alignment with human valuesLarge Language ModelLarge Language Model - A Large Language Model (LLM) is a class of language models that utilize deep learning algorithms and are trained on extensive textual datasets, often spanning multiple terabytes in size. While most LLMs can generate text, some are designed to form compressed representations of inputs for tasks like classification or question answering.sub_class_ofparent_class_ofsee_alsois_defined_byselfsub_class_ofparent_class_ofsee_alsois_defined_by