Examples of 'connectionist' in a sentence
Meaning of "connectionist"
A person who adheres to the principles of connectionism, a psychological theory that focuses on the connections between different elements of mental processes. Connectionists believe that cognitive processes can be understood as interconnected networks
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- An advocate of connectionism.
- Of or relating to connectionism.
How to use "connectionist" in a sentence
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connectionist
Presentation of cybernetic models and connectionist approach.
Connectionist models and their properties.
This has bearing on the connectionist model of memory.
Connectionist approaches were abandoned for the next decade or so.
A transfer of sequence function via equivalence in a connectionist network.
They created a multilayer connectionist system trained to pronounce words.
Connectionist artificial intelligence system.
Recognition systems with a connectionist operation of telephonybased systems and.
A connectionist learning method is used based on minimising a cost function.
Catastrophic forgetting in connectionist networks.
Many recurrent connectionist models also incorporate dynamical systems theory.
Associativist representations are most often described with connectionist systems.
It is worth noting that a connectionist system is capable of implementing a symbolic system.
A closely related and extremely common aspect of connectionist models is activation.
A lot of recurrent connectionist models incorporate dynamical systems theory as well.
See also
A closely related and very common aspect of connectionist models is activation.
A connectionist variation on inheritance.
Evolution of the academic influence of the connectionist and symbolic approaches.
The connectionist school simulates how the human brain acquires knowledge.
This is consistent with their rejection of connectionist systems on the grounds of systematicity.
Connectionist neural networks are able to change over time via their activation.
Most computational modelling employs connectionist models that have several drawbacks.
These eight aspects are now the foundation for almost all connectionist models.
Connectionist models provide a new paradigm for understanding how information might be represented in the brain.
Neural networks are by far the most commonly used connectionist model today.
The connectionist approach employs ensemble learning for its potential in achieving higher accuracy and robustness.
This thesis represents incremental work towards artificial intelligence using connectionist methods.
The BIA model is an implemented connectionist model of bilingual visual word recognition.
We also indicate why the pragmatic model appropriately fits with a connectionist model of cognition.
The prevailing connectionist approach today was originally known as parallel distributed processing PDP.
The preferred structure is a fuzzy neural network which is a connectionist structure which implements fuzzy rules.
Connectionist models can simulate learning by methods that include Hebbian learning and backpropagation.
He had a workstation full of connectionist Al.
We also show how the Connectionist Temporal Classification framework is especially suited to RNNs.
The publication of Perceptrons opened the gates for the disbandment of the connectionist movement.
It is a connectionist approach to modeling linguistic well-formedness.
The Churchlands described representation in a connectionist system in terms of state space.
In most connectionist models, networks change over time.
This is fairly advanced connectionist Al.
In this respect, connectionist approaches view human cognition as a computational algorithm.
This is fairly advanced connectionist AI.
However, the connectionist theory and language are not much known to the hydrologist communauty.
He had a workstation full of connectionist AI.
There are also hybrid connectionist models, mostly mixing symbolic representations with neural network models.
A possible discussion that should be better investigated is the approximation to the Language Connectionist Theories.
Neural back-propagation is a method utilized by connectionist network to show evidence of learning.
Connectionist temporal classification, Labelling unsegmented sequence data with recurrent neural nets.
Discussion of computational modeling, including connectionist models.
Which is the first, brain or world? Connectionist perspective of social recognition and behavior.
In this work, we favor the second axis by using connectionist models.
