Neural Networks Tutorials and Software

Tutorial on neural networks, free neural networks software and neural networks stock prediction.

Neural Networks Tutorials and Software

An example of using Neural Networks
for stock and Forex trading.

It includes the "full cycle", from design issues to porting the resulting NN to the trading platform of your choice.

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Cortex Neural Networks Software

  • Design, teach and apply to your data the Feedforward Backpropagation Neural Networks.
  • All tools you need to import data and to do data transformations (to the form the Neural Network can understand).
  • Charting tools to display the progress during the network training or to create the chart using input - output - predicted output data.
  • Bonus: Built-in Scripting language, that allows you to streamline and make automatic fine-tuning of the Neural Networks, and gives you even more control over data transformations, charting and file input / output.

Introduction to Neural Networks

This is a beginner's introduction to Neural Networks - a particular type of them, called Feedforward Backpropagation Neural Networks. The introduction covers the basic terminology, principles of work, and some applications.

Built-in scripting language

Built-in Scripting language has two "parts". First is common for some applications you may find at this site, it provides you with the ability to work with data in an automated way, to perform file input / output, to draw charts and to save them as images, to automatically create web pages with these charts and much, much more.

The second "part" is specific to the Cortex application. You can write scripts (mini programs) to automatically process data, using Neural Networks, to create and teach new Networks, and - as an extra bonus - to run programs by signals of a the timer.

Cortex Neural Networks API

  • Use the NN trained by the Cortex program from your own code.
  • Add the power of Neural Networks to your own data analysing tools.
  • Create interactive software, that can process data as they arrive, record by record.

An example

Using Neural Networks for trading: full cycle, from design issues to porting the resulting NN to the trading platform of your choice.


Neural Networks algorythms are among the most popular data mining and machine learning techniques used today. As computers become faster, the neural net methodology is replacing many traditional tools in the field of knowledge discovery and some related fields. For example, speech recognition neural networks software can now work on almost any home computer. Beyond doubt, the image recognition is going to be next.

Stock market neural networks tools are now used by many traders because - unlike most competing algorythms - the neural networks extrapolation does not require the mathematical model! We can perform the stock prediction without knowing what are the formulas, or laws that make the stock to change its price.

On this site you will find some software to download, online introductory articles, and links to neural networks book store.


Neural Networks
Neural networks are modelled after the brain (not necessarily a human brain) and provide the learning algorythm that does not require any knowkedges of the formulas for the process being researched, instead, it is based on the familiarity and pattern recognition.

data mining
The neural networks have unique ability to extract the relevant information from the noisy and incomplete data. In terms of machine learning, it is a valuable feature.

machine learning
The machine learning using the neural networks consists of two stages (repeated many times). First, we present the system with the input data and obtain the output. Second, we adjust the system, to make output closer to what it should be.
The first stage is refered as feedforward, the second - as a backpropagation.

neural net methodology
On this site you will find free tutorial, covering basics of the Feedforward Backpropagation neural networks.

knowledge discovery
Knowledge based algorythms are often considered as something opposite to the data based algorythms. However, the Neural Networks are both - they store the information, as a internal structure of a network, making possible to recognize the patterns, including those, that the system never seen before.

speech recognition neural networks
The recognition of speech is an example of the problem that neural networks can solve. The patterns are noisy, they are different from time to time and from person to person, and they are not presented in a form that can be used by algorythm based programs.

Stock market neurals network
There are endless discussions on stock market prediction using neural networks, and the argument are pretty much the same as in discussions about the technical analysis in general.
Neural networks can be used to predict the stock price, to a reasonable extent, they are valuab;e part of modern automated trading systems.

neural networks extrapolation
Neural Networks can work with the data they never seen before, and therefore, can be used for extrapolation. The problem appears when the data go outside the range for which the network was trained. There are tips, described in neural networks introduction to handle this problem.

neural networks stock prediction
The Cortex neural networks software that you can download from this site comes with the network trained to predict the price of a stock.
Usually, this kind of networks are working well only for limited time range, and have to re re-trained to handle new data.

neural networks download
Download the Cortex neural networks software from this site.

free neural networks software
The Cortex neural networks software is feature limited, however you can use even a free version to solve many practical tasks.

neural networks introduction
A free introduction to neural networks is available on this site. It explains the algorythm of the so called Feedforward Backpropagation networks, the most commonly used and probably the most powerfull.

tutorial on neural networks
On this site you will find both the tutorial on the neural nets and the user guide for the Cortex program, the easy to use and powerfull neural networks software.

neural networks book
Check out our list of recommended books of Neural Networks and related subjects of data mining.

neural network course
The Introduction to Neural Networks, available from this site, is a good (and free) start, if you want to learn the algorythms of Feedforward Backpropagation neural networks.

Feedforward
The word Feedforward stands for the first stage of the Neural Network learning process, when the system is presented with the input data.

Backpropagation
The word Backpropagation stands for the second stage of the Neural Network learning process, when the system is adjusted, to make its output closer to what it should be.

network neural type
There are few types of Neural Networks and many variations of the types. On this site you will find the information and software on Feedforward Backpropagation Neural Networks.

neural network free software
Download and try the Cortex program, the easy to use and powerfull neural networks software.

invest network neural
The neural networks are used in the investment analysis, particularly in the stock prediction. The Neural Networks tutorial, available from this site, has an example of such a network.


fuzzy network neural
Fuzzy logic deals with the rules taht are flexible or not constant. That is exactly how the Neural Network works, by recognizing "fuzzy", noisy or incomplete data.

stock market neural network
The Cortex neural networks software works with stock data as with any other data. The Trader stock trading simulator can use these neural networks to generate trading signals.

feed forward network neural
The Feedforward stage of Neural Network algorythm takes the input data and presents it to the first layer of the neurons. The output of the first layer is presented to the second layer, and so on.

trend data mining
Knowing the current trend provides us with some ability to predict the future price change. It is possible to use Neural Networks for this task. Alternatively, check out the Trader stock trading simulator.

basics data mining
Using some kind of tools to extract data, satisfying to some criteria, from the large amount of raw data.

stock data mining
Using the Neural Networks you can detect tendencies in a stock price, even if they are small or hidden. It requires some work on the side of data preparation.

data knowledge mining
The Neural Networks can be used to filter the data, in order to extract the relevant data.

advantage data mining
See the list of recommended books

neural network book
See the list of recommended books for a list of the most relevant books on Neural Networks and related totics.

neural network tool box
The Cortex neural networks software provides you with the easy to use interface, allowing to create, teach and use the Neural Networks with your data.

neural network financial
The algorythm can be used in any area, where the data can be presented in a tabular form.

data mining article
See the list of recommended books

data mining neural network
As the computer systems become faster, the value of the NN as the data mining tool will only increase.

future neural network
The ability ot the Neural Networks to predict the future is limeted, as one can expect, to the common sence. For example, if the way the market is treating the stock changes, the old network may become useless, and a new one will have to be trained, using new data.

data mining case study
See the list of recommended books for the data mining tutorials and case studies.

algorithm backpropagation
During the Backpropagation stage of the neural network training, the output layer of neurons is adjusted, to make the output closer to what it need to be. Then the layer before is adjusted, based on the adjusted last layer and so on.

application data mining
The Cortex neural networks software can be used to create the neural networks, that can become part of the custom data mining tools.

data mining example
See the list of recommended books for the data mining tutorials and examples.

neural network artificial intelligence
Neural Networks are considered important step in our understanding of the way human brain works.

data mining papers
As large amounts of data are usually processed during the data mining, the neural networks applications may become the bottle neck. The hardware is available to make it fast, as a mater of fact, hardware based NN are fast enough for almost any task.

network neural programming
The software that you find on this site allows seamless neural network programming, it includes both creating neural networks and teaching them using the feedforward backpropagation algorythm.

stock neural network
One of the most demanded areas of the neural networks prediction is predicting stock prices, as this task is one of the most difficult to formalize, and neural networks do not require the formal task description.

fuzzy network neural
To some extent, neural networks DO implement fuzzy logic, as they can produce results, that are close to correct ones, based on samples, that are close to familiar ones.

boosting data mining
Data mining can be boosted, in some cases, by applying neural network algorythms. It may involve predicting optimal ways to a place, where the information is located, rather than brutal search, however, this approach shouls be used with caution, as with neural networks, there is always a risk of finding a local minimum solution, instead of a global one.

neural network free software
On this site, you will find a feature-limited free trial version of the software.

stock market neural network
Stock market predictions are not as easy, as people usually think. One of the most important reasons for this to be true is the way data are organized. Generally, we need to know exactly what we use as an input and what we are expecting as an output, rather than feeding the network the raw data, hoping to get meaningfull results.

invest network neural
Before investing your time in the solution, based on neural networks, do a homework to figure out, what the exact nature of a task is. The nn can do anything, but WHAT to do - this is a human's decision.

data decision mining tree
As in any decision making process, there may be a way to speed up the data decision tree crawling, by applying the neural network algorythms.

bots data mining
As for the data mining bots, the use of neural networks is limited, if any. There is, of course, always a chance of adopting a new technology in a new way.

data mining benefit
The main benefit of data mining approach is in reducing the dimension of a task, making it more manageable, and less complex. Often, most important moving forces are hidden behind the scene, and neural networks are very good in finding them.

data mining resume
What is he data mining? Looking up for the relevant information in a large multidimentional data continuum, with little, if any, advance knowlege of the dependencies the data have.

neural network financial
Financial area is one where neural computations are used heavily. There are many areas where they provide signifficant help, and some areas, where they are the only solution.

neural network book
There are many books on the general neural networks theory available at Amazon, as well as few articles on this site, both general-purpose basic introductions, and specialized ones.

data mining article
There are many data mining articles and books, available in the Internet.

data mining neural network
The importance of neural networks in data mining is in their ability to find non-evident dependencies, thereby reducing dimension and increasing the quality of an answer.

data mining storage
As data mining storage, the object databases of hypercubes are often used.

data mining job
Neural networks can be used as a part of a data mining software. Their job in this tast may differ from identifiying binary or stored in tables data patterns, to suggesting the most promicing approach to a search.

data data mining mining
As a data mining algorythm per se, neural computations are just a tool. Using it depends on the person, specifying the mining algorythms.

data mining case study
To get a better idea of possible scenarios of data mining usage, we suggest performing the search in the Internet.

data mining warehouse
Data mining warehouses often use their own software, optimized, depending of the task it performs. For example, in face recognition, neural networks can be used, as a low level algorythm, while the generic database is used to store and maintain records.

algorithm backpropagation
Backpropagation algorythm is one of the most promicing. It uses the data pattern (so called supervised learning) to compute the signal (during the feedforward part of the learning), and then uses the error, to adjust the weights of the neurons (during the backpropagation part).

data mining concept
The overall concept of the data mining is based on the assumption, that the multi dimensional data continuum can be cross-cut by the (again - multi dimensional) surface, and that the intersection will contain a result we are after.

neural stock
As a demonstration of the complexity of the stock trading using neural networks, we provided, on this site, a simple article, that is attempting to do a small case study, examining the pitfalls of the task, as they arrive.

application data mining
"Cortex", the neural networks package, may, to some extent, be considered as a data mining tool.

data mining definition
Data mining requires the search (mining) algorythm to be provided, without such definition, it will not be usefull. Here, you will find a small article about stock price prediction. We start with a simple (and incorrect) task, and arrive to a more or less correct one.

data mining example
In that example (see the previous paragraph), it is interesting to mention, that in order to solve the problem, we had to re-state it. Indeed, we do not care about the stock price, we need trading signals instead!

neural network artificial intelligence
Some most promicing solutions in the area of artifficial intelligence use neural networks. This is not surprising, as the very idea of neural networks is copied from the structure of brain.

data mining papers, data mining sas
Data mining information is available online, both as whitepapers, articles and reviews.

fuzzy neural system
Neural networks do implement some kind of the fuzzy logic, though it is not the fuzzy logic as it is formally defined.

classification data mining
Classification is another area, where neural networks shine. It is possible to write both supervised classification software, for example, using feedforward backpropagation algorythms, and not-superwised automatic classification, where the network will break the data into the cetegories.

neural network for pattern recognition
Pattern recognition is one of the most important areas of neural networks application. The pattern may be provided as a text or binary (sound, image) sequence, and similarity between it and previously seen patterns used for classification.

data mining tutorial
This site is not intended as the data mining tutorial, except for a small subset, related to neural networks. You can find all the necessary information in the Internet.

neural network tutorial
On this site, you will find few tutorials, covering different aspects of the neural computations. First, these are introductions, and second, in-depth stock and FOREX trading.

data mining training
The most important - and the most confusing - part of the data mining using neural networks, is not in thaining itself, but in defining the algorythms, inputs and outputs, as well as finding the inner logic in data.

introduction to neural network
The articles on this site may be used as a good basic introduction to neural network computations.

data mining multimedia
When data mining is performed on a database, using the criteria that are not part of the index, neural networks can be used to do a recognition task. It is particularly true with analog, multimedia records.

introduction data mining
For an introductory data mining information, the best source is probably the Amazon book collection.

data mining on the web
To perform data mining on the web, we can use so called bots. Collected information can then be treated as any database, and data mining applies, as always. Also, the neural networks may be used to figure out ways of accelerating the web crawling.

neural network computer
To perform neural network computation faster, high degree of parallelism is required, ideally, every neuron should have its own thread. To implement it, special hardware exists, called neuristors.

data mining internet
The Internet is a very promicing media for data mining. As the mater of fact, the very nature of the Internet, created by people, and therefore, structured according to some intelligent logic, allows us to look for hidden important dependencies in it. For example, Google uses this approach to find "true meaning" of words and even phrases.

data mining conference
There are many, happening online and offline.

data mining course
There are many, happening online and offline.

neural network hardware
As was mentioned above, some very fast chips are available for neural computations.

matlab neural network
Matlab is one of the general purpose applications, that inclused neural networks block.

data mining data warehouse
Data warehouse software (used for data mining against large data arrays) is available off-the-shelf (do an online research).

business intelligence data mining
The term "business intelligence" is not strict enough. The data mininng can be performed to improve business, and yes, neural networks can be part of it.

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