PATENT CLAIM ANALYSIS

Application Number: 15994461
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-12
Patent Classification: ["716", "110000"]

Abstract:
A computer-implemented method, computer program product, and computer processing system are provided for generating synthetic layout patterns. The method includes receiving, by a processor, a set of physical design layouts that include a variety of layout patterns for neural network training. The method further includes generating, by the processor, a set of training layout pattern images for the neural network training by performing automatic image capturing on the set of physical design layouts with scripts. The method also includes training, by the processor, a feedforward neural network (FFNN)-based Variational Autoencoder (VAE) with the set of training layout pattern images. The method additionally includes generating, by the processor using the FFNN-based VAE, new synthetic layout images.

Claim (Index 10):
The computer program product of  claim 9 , wherein the synthetic layout patterns are synthetic single-layer layout patterns.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 93.0
- Lexical Diversity: 2.28814
- Patent Class: 716.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15994396', '15994598', '15880339', '15609009', '15938897']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3697134600486363
- 35 USC 102 Novelty (BERT): 0.4894288583713624
- Combined Prediction Score: 0.381684999880909
- Mean Citation Score: 224.380102
- Max Citation Score: 274.06577000000004
- Similarity Product: 199.05713816965945

Labels:
- Claim Label 101: 1
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 1

Dataset: test