PATENT CLAIM ANALYSIS

Application Number: 16199603
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-05
Patent Classification: ["365", "045000"]

Abstract:
An electronic device applicable to an artificial neuron network. The electronic device includes a first circuit, a second circuit, and first to sixth wirings. The first circuit includes a first transistor, a second transistor, and a capacitor. The second circuit includes a third transistor. A gate of the third transistor is electrically connected to the third wiring. The capacitor capacitively couples the third wiring and the gate of the second transistor. The first circuit is capable of storing a weight as an analog value. The first transistor is typically an oxide semiconductor transistor.

Claim (Index 7):
A neural network comprising:\n artificial neurons each comprising a transistor and a node electrically connected to the transistor, wherein a channel formation region of the transistor comprises an oxide semiconductor, and wherein the transistors are configured to control weakening of bonds between synapses of the neural network.

Metadata:
- Claim Count in Document: 36.0
- Percentile: 98.0
- Lexical Diversity: 2.5
- Patent Class: 365.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15158860', '15447809', '15082431', '15083776', '15391929']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8015760457013049
- 35 USC 102 Novelty (BERT): 0.5144326921447787
- Combined Prediction Score: 0.7728617103456523
- Mean Citation Score: 253.510372
- Max Citation Score: 323.523
- Similarity Product: 212.29827748382093

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

Dataset: test