Components for trainable systems

Hoff, Marcian E.; Crafts, H.; Angell, James B.; Low, Pearlie Sijia

doi:10.1109/isscc.1962.1157395

1962 IEEE International Solid-State Circuits Conference. Digest of Technical Papers 1962

DOI: 10.1109/isscc.1962.1157395

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Components for trainable systems

Marcian E. Hoff

H. Crafts²,

James B. Angell³

et al.

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1963

1969

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A Survey of Analog Memory Devices

Nagy

1963

IEEE Trans. Electron. Comput.

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Widespread and persistent interest in the impleunit. Typical figures derived from computer simulation mentation of multilevel logic, conditional probability computers, range from 30 to 300 levels.'-3 learning machines, and brain models has created a need for an in-W. . b expensive analog or quasi-digital storage element. A number of possible approaches to this problem, ranging from the slow and the value one level at a time, it is not necessary to be reliable electromechanical systems to the many forms of charge and able to reproduce a given level exactly, as it would be if flux integration, are reviewed, and the suitability of each device for the machine were to perform arithmetic operations. A various fields of application is briefly discussed. way of resetting the value to some arbitrary zero level

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A Survey of Analog Memory Devices

Nagy

1963

IEEE Trans. Electron. Comput.

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Electrochemically Active Field-Trainable Pattern Recognition Systems

Stewart

1969

IEEE Trans. Syst. Sci. Cyber.

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Components for trainable systems

Cited by 2 publications

References 2 publications

A Survey of Analog Memory Devices

A Survey of Analog Memory Devices

Electrochemically Active Field-Trainable Pattern Recognition Systems

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