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A multilayered neural network controller
A modified error-back propagation algorithm, based on propagation of the output error through the plant, is introduced, for learning several learning architectures for training the neural controller to provide the appropriate inputs to the plant.
Recognitive Aspects of Moment Invariants
- Y. Abu-Mostafa, D. Psaltis
- Computer ScienceIEEE Transactions on Pattern Analysis and Machine…
- 1 November 1984
Moment invariants are evaluated as a feature space for pattern recognition in terms of discrimination power and noise tolerance and properties of complex moments are used to characterize moment invariants.
Developing optofluidic technology through the fusion of microfluidics and optics
D devices in which optics and fluidics are used synergistically to synthesize novel functionalities are described, according to three broad categories of interactions: fluid–solid interfaces, purely fluidic interfaces and colloidal suspensions.
Holographic Data Storage
Developments in holographic 3D memories are described, in which high density is achieved by superimposing many holograms within the same volume of recording material.
OPTICAL PHASE CONJUGATION FOR TURBIDITY SUPPRESSION IN BIOLOGICAL SAMPLES.
It is shown that, despite experimental imperfections, optical phase conjugation can force a transmitted light field to retrace its trajectory through a biological target and recover the original light field.
Position, rotation, and scale invariant optical correlation.
A new optical transformation that combines geometrical coordinate transformations with the conventional optical Fourier transform is described, which is invariant to both scale and rotational changes in the input object or function.
Optical information processing based on an associative-memory model of neural nets with thresholding and feedback.
The remarkable collective computational properties of the Hopfield model for neural networks are reviewed, including recognition from partial input, robustness, and error-correction capability.
Linear and logarithmic capacities in associative neural networks
A model of associate memory incorporating global linearity and pointwise nonlinearities in a state space of n-dimensional binary vectors is considered, and computer-simulated results show that the spectral strategy stores information more efficiently.
Lensless high-resolution on-chip optofluidic microscopes for Caenorhabditis elegans and cell imaging
- Xiquan Cui, L. Lee, Changhuei Yang
- BiologyProceedings of the National Academy of Sciences
- 5 August 2008
The implementation and application of two high-resolution, lensless, and fully on-chip microscopes based on the optofluidic microscopy (OFM) method are reported, anticipating that the OFM can significantly address a range of biomedical and bioscience needs, and engender new microscope applications.