general | March 24, 2026

Neural network - How To Discuss

Neural network,

Definition of Neural network:

  1. A computer system modeled on the human brain and nervous system.

  2. A neural network is a series of algorithms that endeavors to recognize underlying relationships in a set of data through a process that mimics the way the human brain operates. In this sense, neural networks refer to systems of neurons, either organic or artificial in nature. Neural networks can adapt to changing input; so the network generates the best possible result without needing to redesign the output criteria. The concept of neural networks, which has its roots in artificial intelligence, is swiftly gaining popularity in the development of trading systems.

  3. Neural networks, in the world of finance, assist in the development of such process as time-series forecasting, algorithmic trading, securities classification, credit risk modeling and constructing proprietary indicators and price derivatives.

  4. Artificial intelligence technique that mimics the operation of the human brain (nerves and neurons), and comprises of densely interconnected computer processors working simultaneously (in parallel). A key feature of neural networks is that they are programmed to learn by sifting data repeatedly, looking for relationships to build mathematical models, and automatically correcting these models to refine them continuously. Also called neural net.

Synonyms of Neural network

System, Complex, Interconnected structure, Interconnected system, Complex arrangement, Complex system, Nexus, Web

How to use Neural network in a sentence?

  1. If you can find something that can really do a good neural network then you can save a lot of money on manpower.
  2. A neural network is a computer architecture modeled on the human brain, consisting of nodes connected to each other by links of differing strengths.
  3. You must always try and do things that follow the plan of the neural network to keep them on your side.
  4. They are used in a variety of applications in financial services, from forecasting and marketing research to fraud detection and risk assessment.
  5. Use of neural networks for stock market price prediction varies.
  6. I was really impressed with the neural network because it almost seemed like it was a human, except for the conscious awareness.
  7. Neural networks are a series of algorithms that mimic the operations of a human brain to recognize relationships between vast amounts of data.

Meaning of Neural network & Neural network Definition

Neural Network,

What Does Neural Network Mean?

Neural networks are a set of algorithms that try to find the basic relationship of data through processes that mimic the workings of the human brain. In this sense, the neural network refers to a system of neurons that is either organic or artificial. Neural networks can adapt to changes in input so that the network gets the best results without further clarifying the quality of the output. The concept of a neural network with artificial intelligence roots is gaining popularity as the trading system evolves.

  • The neural network is a set of algorithms that mimic the operation of the human brain to find connections between large amounts of data.
  • They are used in a variety of uses, from financial services to forecasting and market research to fraud detection and risk assessment.
  • The use of neural networks to predict stock prices varies.

Literal Meanings of Neural Network

Neural:

Meanings of Neural:
  1. Related to the nervous or nervous system.

Sentences of Neural
  1. Patterns of neural activity

Synonyms of Neural

neurological, neural, neuro-

Network:

Meanings of Network:
  1. Arranging the intersection of horizontal and vertical lines.

  2. A group or system of people or objects that are interconnected.

  3. Connect or use network.

  4. Communicate with others to share information and make professional or social contacts.

Sentences of Network
  1. The spider forms a complex web of different types of threads

  2. Trade network

Synonyms of Network

criss-cross, grid, lattice, net, matrix, mesh, webbing, tracery, trellis

Neural Network,

What is The Definition of Neural Network?

  • A simple definition of Neural Network is: A neural network is a set of algorithms that try to find basic relationships in a data set through a process that mimics the way humans work. In this sense, the neural network refers to the system of neurons, whether electronic or artificial. Neural networks can adapt to changes in input so that the network gets the best results without redesigning the output quality. The concept of neural networks, rooted in artificial intelligence, is becoming increasingly important in business development.

    • An artificial neural network is a set of algorithms that mimic human operations to find relationships between large amounts of data.
    • They are used in a variety of financial services applications, from foundry and market research to fraud detection and risk assessment.
    • The use of neural networks for stock market forecasting varies.

Literal Meanings of Neural Network

Neural:

Meanings of Neural:
  1. About the nervous system.

Network:

Meanings of Network:
  1. Arrangements for cutting horizontal and vertical lines

  2. A group or system of people or related things.

  3. Connected or working on a network.

  4. Communicate with others to share information and establish professional or social relationships.

Sentences of Network
  1. A spider forms a complex network of different types of threads.

  2. The company has a network of 326 branches.

  3. The channels are less connected to each other than the railways.

  4. Networking is very important when starting a new business.

Synonyms of Network

openwork, fretwork, grapevine, filigree, reticulation, neural net, plexus, réseau, old boy network, graticule, webwork, meshwork, bush telegraph, latticework, rete, reticulum, complex system/arrangement, reticule, the old school tie

Neural Network,

Neural Network: What is the Meaning of Neural Network?

James Chen, CMT, is an experienced trader, investment advisor and global market strategist. He is the author of books on trade and technical business by John Wiley & Sons and has been a visiting researcher at CNBC, Bloomberg TV, Forbes and Reuters, among other financial companies.

  • An artificial neural network is a set of algorithms that mimic human actions to find the relationship between large amounts of data.
  • They are used in a variety of financial services applications, from foundry and market research to fraud detection and risk assessment.
  • The use of neural networks for stock market forecasting varies.

Literal Meanings of Neural Network

Network:

Meanings of Network:
  1. Arrangement for joining horizontal and vertical lines.

  2. A group of people or systems or interrelated things.

  3. Connecting or working on a network.

  4. Communicate with others to share information and establish professional or social connections.

Sentences of Network
  1. Channels are less connected than railways.

Neural Network

What is a neural network?

A neural network is a methodology or set of algorithms that work similarly to the human brain. It applies deep learning techniques to recognize patterns and draw conclusions without human intervention.

Neural networks, a kind of machine learning, learn and improve over time. You can seamlessly explore and model complex nonlinear relationships. You can also find shortcuts, which are very valuable when analyzing big data. Neural networks can infer relationships and repair themselves when data is missing or errors occur.

What are the business benefits of a neural network?

A deep neural network offers several business benefits. For example, you can:

  • detect fraud. In many industries, neural networks help prevent fraud by detecting and alerting fraudulent systems.
  • Improve customer relationships. Companies can use neural networks to better identify customer segments, focus their marketing and sales efforts, and determine why customers choose their competitors.
  • Refine marketing initiatives. Scalable neural network applications can be used to create segment-specific marketing campaign approaches. For instance:
    • In retail, they can make more accurate forecasts and provide a clearer picture of which products and how often have been bought on a given day and which product combinations have been bought most often.
    • In the financial sector, they can provide more accurate forecasts of exchange rates and stock prices, and enable banks to offer loans based on aggregated statistics.
    • On the production floor, they can analyze data from machines, sensors, beacons and cameras to monitor and optimize factory processes.
    • In insurance, they enable insurers to segment their customers for marketing, pricing and risk purposes.

A neural network is a type of computing inspired by biological neurons that converts complex objects (such as audio and video) into chips suitable for traditional computing.