Search

What is another word for Connectionist Model?

Pronunciation: [kənˈɛkʃənˌɪst mˈɒdə͡l] (IPA)

A Connectionist Model is an important concept in the field of cognitive science and artificial intelligence, referring to a network of interconnected nodes or units that simulate human learning and information processing. Synonyms for this term include neural network, associative network, and parallel distributed processing model. These terms all describe a computational model that imitates the human brain's functioning, where information is processed and stored through a complex web of interconnected units. Each synonym emphasizes the model's ability to learn from experience, recognize patterns, and make connections between different pieces of information. Therefore, regardless of the specific synonym used, it ultimately refers to a powerful and sophisticated computational tool that replicates human cognitive processes.
Opposite words
Antonyms
Search

What are the opposite words for Connectionist Model?

The connectionist model is related to neural networks, where the learning process is through strengthening or weakening connections between nodes. The antonyms for connectionist model might be a rule-based model or a symbolic model, where the focus is on reasoning and logic. A rule-based model follows a set of predefined rules to solve a problem, whereas a symbolic model represents knowledge through symbols and relationships. Another antonym for the connectionist model might be a non-artificial intelligence model or a non-machine learning model, such as traditional statistical models, which use numerical data to draw conclusions. These models are better suited for problems involving structured data with clear patterns, rather than complex or unstructured data.

What are the antonyms for Connectionist model?

Word of the Day

Chases sign
The term "Chases sign" refers to a linguistic phenomenon known as synonymy, wherein multiple words or phrases are used interchangeably to convey a similar meaning. Synonyms for "Ch...