This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019Cataloged from student-submitted PDF version of thesis.Includes bibliographical references (pages 57-58).Artificial Neural Networks (NN) are notorious for their size requirements and for the effort involved in developing well performing network models. This thesis uncovers a fundamental relationship that ties model size and performance in a predictable manner. This relationship enables a well-founded development of networks at small scale while producing insight into their large-scale...
A number of researchers have investigated the impact of network architecture on the performance of a...
A major problem in applying neural networks is specifying the size of the network. Even for moderate...
Autonomous Fifth Generation (5G) and Beyond 5G (B5G) networks require modelling tools to predict the...
One critical aspect neural network designers face today is choosing an appropriate network size for ...
that has attracted a number of researchers is the mathematical evaluation of neural networks as info...
How does the size of a neural circuit influence its learning performance? Larger brains tend to be f...
It took until the last decade to finally see a machine match human performance on essentially any ta...
Most biological networks are modular but previous work with small model networks has indicated that ...
This dissertation is designed to answer the following questions: (1) Which measurement model is bett...
(A) Scaling up empirical connectomes with bio2art. Scaling allows to specify a number of neurons per...
This paper presents the application of the artificial neural network (ANN) to the study of efficienc...
A major problem in applying neural networks is the determination of the size of the network. Even fo...
The final publication is available at ACM via http://dx.doi.org/10.1145/3229607.3229613Recent trends...
Experience shows that cooperating and communicating computing systems, comprising segregated single ...
Performance metrics are a driving force in many fields of work today. The field of constructive neur...
A number of researchers have investigated the impact of network architecture on the performance of a...
A major problem in applying neural networks is specifying the size of the network. Even for moderate...
Autonomous Fifth Generation (5G) and Beyond 5G (B5G) networks require modelling tools to predict the...
One critical aspect neural network designers face today is choosing an appropriate network size for ...
that has attracted a number of researchers is the mathematical evaluation of neural networks as info...
How does the size of a neural circuit influence its learning performance? Larger brains tend to be f...
It took until the last decade to finally see a machine match human performance on essentially any ta...
Most biological networks are modular but previous work with small model networks has indicated that ...
This dissertation is designed to answer the following questions: (1) Which measurement model is bett...
(A) Scaling up empirical connectomes with bio2art. Scaling allows to specify a number of neurons per...
This paper presents the application of the artificial neural network (ANN) to the study of efficienc...
A major problem in applying neural networks is the determination of the size of the network. Even fo...
The final publication is available at ACM via http://dx.doi.org/10.1145/3229607.3229613Recent trends...
Experience shows that cooperating and communicating computing systems, comprising segregated single ...
Performance metrics are a driving force in many fields of work today. The field of constructive neur...
A number of researchers have investigated the impact of network architecture on the performance of a...
A major problem in applying neural networks is specifying the size of the network. Even for moderate...
Autonomous Fifth Generation (5G) and Beyond 5G (B5G) networks require modelling tools to predict the...