Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Hand hygiene

Hand hygiene

Asepsis is the practice of preventing or breaking the chain of infection. The nurse employs aseptic techniques to prevent the spread of microorganisms and reduce the risk of diseases. Hand hygiene is the cornerstone of aseptic techniques and is classified into medical and surgical asepsis. Medical asepsis includes hand hygiene and the use of gloves. Surgical asepsis, or the sterile technique, refers to practices that render and keep objects and areas free of microorganisms.
Hand washing...

Avoidance Learning and Learned Helplessness

Avoidance Learning and Learned Helplessness

Avoidance learning and learned helplessness are critical concepts in understanding behavioral responses to negative stimuli.
Avoidance learning occurs when an organism learns that a specific behavior can prevent an unpleasant outcome. For example, a student who receives a bad grade may start studying harder to avoid future poor grades. This behavior persists even when the negative outcome is no longer present. Avoidance learning is powerful because it maintains behavior in the absence of the...

Types of Reports I: Hands-off Report

Types of Reports I: Hands-off Report

A hand-off report, also known as a change-of-shift report, is a crucial nursing process that ensures the smooth transition of patient care responsibilities between nursing staff.
Following are the key components and categories of hand-off reports:
Purpose and Process:

Muscles of the Forearm that Move the Hand and Fingers

Muscles of the Forearm that Move the Hand and Fingers

The muscles of the forearm that move the wrist, hand, and digits are numerous and diverse. They can be classified into two groups based on their location and function — the anterior and posterior compartment muscles.
Anterior Compartment
The anterior compartment muscles originate from the humerus. They primarily function as flexors and are also known as flexor muscles. They typically insert on the carpals, metacarpals, and phalanges. The superficial layer includes the flexor carpi...

Learning Disabilities

Learning Disabilities

Learning disabilities are cognitive disorders caused by neurological impairments that affect cognitive functions like language and reading, without indicating overall intellectual or developmental challenges. These disabilities differ from global intellectual or developmental disabilities as they are limited to distinct cognitive functions. Common learning disabilities include dysgraphia, dyslexia, and dyscalculia, each of which impacts unique aspects of learning.
Dyslexia
Dyslexia is a...

Associative Learning

Associative Learning

Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
Classical conditioning, also known...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Encoder: a connectionist model of how learning to visually encode fixated text images improves reading fluency.

Psychological review·2004

Same author

Tracheoscopy with the rapiscope to verify endotracheal tube placement.

Journal of clinical anesthesia·2003

Same author

Is the match illegal?

The New England journal of medicine·2003

Same author

Dr. Schweitzer on the use of lab animals.

The New York times on the Web·1990

Same journal

A Model-Free Reinforcement Learning Implementation of Decision Making Under Uncertainty by Sequential Sampling.

Neural computation·2026

Same journal

DROP: Distributional and Regular Optimism and Pessimism for Reinforcement Learning.

Neural computation·2026

Same journal

Hierarchical Active Inference Using Successor Representations.

Neural computation·2026

Same journal

W-Kernel and Its Principal Space for Frequentist Evaluation of Bayesian Estimators.

Neural computation·2026

Same journal

A Hidden Markov Model-Inspired Sequence Classification Method for Hyperdimensional Computing.

Neural computation·2026

Same journal

Sparse Graphical Modeling for Electrophysiological Phase-Based Connectivity Using Circular Statistics.

Neural computation·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jan 23, 2026

Training Synesthetic Letter-color Associations by Reading in Color

Training Synesthetic Letter-color Associations by Reading in Color

Published on: February 20, 2014

Recognizing Hand-Printed Letters and Digits Using Backpropagation Learning.

Gale L Martin¹, James A Pittman¹

¹MCC, Austin, Texas 78759 USA.

Neural Computation

|June 7, 2019

Summary

This summary is machine-generated.

Training artificial neural networks for handwriting recognition requires large, diverse datasets. A large training set significantly improves accuracy, with network size having minimal impact on generalization performance.

More Related Videos

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping

Published on: April 21, 2023

Digital Printing of Titanium Dioxide for Dye Sensitized Solar Cells

Digital Printing of Titanium Dioxide for Dye Sensitized Solar Cells

Published on: May 4, 2016

Related Experiment Videos

Last Updated: Jan 23, 2026

Training Synesthetic Letter-color Associations by Reading in Color

Training Synesthetic Letter-color Associations by Reading in Color

Published on: February 20, 2014

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping

Published on: April 21, 2023

Digital Printing of Titanium Dioxide for Dye Sensitized Solar Cells

Digital Printing of Titanium Dioxide for Dye Sensitized Solar Cells

Published on: May 4, 2016

Area of Science:

Computer Science
Artificial Intelligence
Machine Learning

Background:

Backpropagation neural networks are utilized for pattern recognition tasks.
Handwritten character recognition is crucial for automated data processing, such as bank check digit recognition.

Purpose of the Study:

To evaluate the generalization performance of backpropagation networks trained on handwritten digits and letters.
To determine the impact of training set size and network capacity on recognition accuracy.

Main Methods:

Training backpropagation networks using scanned bank check digits and stylus-digitized hand-printed letters.
Analyzing generalization error rates as a function of training data size and network capacity.

Main Results:

High performance was achieved with error rates of 4-5% at 0% reject rate and 1-2% at 10% reject rate, given sufficient training data and network capacity.
Network topology and capacity demonstrated minimal effect on generalization performance.

Conclusions:

A large and representative training dataset is the most critical factor for achieving high accuracy in hand-printed character recognition systems.
Optimizing network connections offers benefits beyond generalization, such as computational efficiency.