Exam 9: Machines That Can Learn

The _____________ is not normally connected to the ANN and is assumed to have an input value of 1.0 for the state function. Its purpose is to allow for the individual adjustment of the firing threshold of the neurode to facilitate the final adjustment of the ANN following the learning process.

The actual procedure used by a neural network to find the appropriate weight settings is referred to as its:

Fuzzy logic is key to developing computers that can think.

When continuous variables are involved, traditional rule-based systems tend to provide more accurate results than fuzzy logic.

Neural computing involves processing information by means of changing states of networks formed by interconnecting extremely large numbers of simple processing elements that interact with one another by exchanging signals.

Which of the following is part of the basic structure of a neurode?

The __________________'s purpose is the consolidation of the weights of the various inputs to the neurode into a single value that can be passed to the transfer function for processing. The value obtained determines the degree of impact the combined inputs will have on the transfer function and, thus, on the final output of the neurode.

In the human brain, the transmission of signals from one neuron to another occurs at a junction referred to as the:

The primary purpose of the learning paradigm is to serve as the vehicle by which the summed information is passed on as output.

Fuzzy logic allows for the partial description of a rule.

Fuzzy logic deals with the likelihood that something has a particular property while probability deals with the degree to which a particular property is present in something

The ANN involves an interconnected system of nodes called neurodes that are associated with one or more weighted connections that are equivalent to human neural synapses, inside the memory of a digital computer. The construction of the ANN is one of multiple layers with the connections running between the layers.

Artificial neural networks are simple computer-based programs whose primary function is to construct models of a problem space based upon trial and error.

Which of the following is not true of fuzzy logic?

The GA's smallest unit is called a gene. The gene represents the smallest unit of information in the problem domain and can be thought of as the basic building block for a possible solution.

The purpose of a state function is to consolidate the weights of the various inputs to the neurode into a single value that can be passed to the transfer function for processing.

In a genetic algorithm, the smallest unit of information in the problem domain is called a:

Which of the following are limitations of neural computing?

The basic structure a typical neurode consists of is a set of weighted input connections, a bias input, a state function, a nonlinear transfer function, and an output connection.

Fuzzy logic can deal with any degree of change in input.