Showing posts with label Artificial Neural Network. Show all posts
Showing posts with label Artificial Neural Network. Show all posts

Wednesday, May 19, 2010

Neuro-Physiological Patterns - The Basis of Clinical Interventions

Everything around us and inside us is all about patterns. This includes physics, astronomy, biology, cultural relationships, and everything else. For a hypnotherapist this concept is crucial, as it extends to the totality of human experience and transformation.

The commonality of all existence is the tendency to move from chaos to order. Order implies the elements of a system are organized in a logical pattern reflecting relationships of interdependency. Chaos means that everything entropies eventually into disorder. Regardless, the next step is always a return to order. Patterns mean order; order means patterns.

Tuesday, May 18, 2010

Skull Ports for Your Artificially Intelligent Add-on Memory and Networked Computer

In the future all the smart folks will have add on computer components to assist them in their thought processes. The smart folks will be hooked into their computers and they will have "Skull Ports" with Artificially Intelligent computers to do complicated thinking and extremely complex thought.

"Hooked In?"

Neural Workflow - Workflow Software

A brief discourse on a new workflow software paradigm.

I am often asked "why ought to I use workflow software?" To which I often retort "why use software in the first place?" We use computer systems to make life easier for ourselves, but at a more basic level we use them to replace ourselves. Computers have moved away from being calculators into the realm of worker surrogates. In short as systems become more and more complex and are required to replace more and more human tasks they need to behave more and more like humans. To extrapolate further their brains need to work like our brains, hence neural workflow.

Monday, May 17, 2010

Forex Software System Trading

The foreign exchange (forex) market is a universal financial market for the trading of currencies. Financial institutions across the globe serve as links to trading between a broad range of different types of buyers and sellers everyday round the clock with weekends being an exception.

The purpose of the foreign exchange market is to help international trade and investment. The foreign exchange market provides businesses to convert one foreign currency to additional. In a typical foreign exchange transaction, a party purchases a quantity of one currency by paying a quantity of additional currency. for instance, it permits Indian business's to import Australian goods and pay Australian dollars, even though the business's income is in Indian Rupees (INR).

Sunday, May 16, 2010

Neural Networks - Is Google Invading the Space

How big is the Web? The last numbers I saw (Feb 2010) estimated 750 million websites worldwide, plus 200 million blogs. There are surely other domains which Google scans. Other figures suggest 25 billion indexed webpages (Netcraft March 2009), but that number will have grown much since then. In this context, we take 'Google' to be a combination of a search engine and an instantaneous results set across all web site and blog resources worldwide.

Here, I use the term neural network not in the strict Artificial Intelligence sense, but in a more general sense.

Saturday, May 15, 2010

Iris Recognition Using Neural Networks

Introduction

There are variable ways of human verification through out the world, as it's of great importance for all organizations, and different centers. Nowadays, the most significant ways of human verification are recognition via DNA, face, fingerprint, signature, speech, and iris.

Integrating New Neurons Into Neural Networks

In the past, the field of neuro research has a rigid belief that folks can not grow new neurons well into old age. But a remarkable discovery in 1998 changed it all. it is now believed that folks can grow new neurons while they are aging. Now the focus of the studies mainly placed in finding out how these new neurons integrate themselves gracefully into existing neural networks without causing any potential problems. The studies were conducted in embryonic rodents and monkeys recommended that the neurotransmitter GABA, which normally inhibits neurons from firing, may instead be stimulating new neurons to fire.

Friday, May 14, 2010

Forex Trading - Using Neural Networks for Huge Profits

Today, we are seeing the increasing use of neural networks in financial markets to help forecast prices with greater accuracy and the complexity and research is mind boggling. This article will consider the use of neural networks in financial trading and their profit potential.

The Human Brain V Computers

Wednesday, May 12, 2010

Forex Megadroid - Are the Neural Network Capabilities of the Forex Megadroid Sufficient

Some of the characteristics that one looks for in a robot for forex trading are its built-in artificial intelligence, and how its user interface is designed. A good system have to have a good user interface, but a strong artificial intelligence. By artificial intelligence when referring forex trading, we are concerned in a system that has a mechanism of doing market predictions by performing its own calculations based on the market data accessible and drawing its own conclusions from the calculations. On top of being able to do the calculations as well it have to also have a certain level of accuracy because one expects that once he automates his forex trading then the machine will operate with a considerable autonomy and that means that it have to be able to guarantee a certain level of accuracy.

Fuzzy Lab - How Artificial Neural Networks Can Help Medicine

Some researchers of the Saint Raphael Institute of Milan have
discovered a useful software for the analysis of proteins and very
significant in the diagnosis of some pathologies of the immune system.
The new program, known as FuzzyLab, concurs to obtain better results
and to pull down of 80% the times of examination, to all advantage of
the doctor but also of the patient. FuzzyLab is a software
neuro-fuzzy, it means that is based on a combination of neural
networks and fuzzy logic.

Tuesday, May 11, 2010

Behind Digital Signal Processing Technologies (DSP)

It is difficult to think about life without technology at these days, but is definitely part of our lives, allowing us to do so more quickly and easily. But, what is behind all the technological advances?

Most users of technology ignored entirely how technological devices work.

occasionally it's amusing to observe how two folks argue heatedly about the properties of a device, on one occasion I heard two young boys discussing the capabilities of a mobile phone equated to additional.

Monday, May 10, 2010

Artificial Neural Network Model For Grain Refining in Stainless Steels

Austenitic stainless steels, in spite of their excellent corrosion resistance, have low yield strength. among the most effective ways to increase yield strength without impairing good ductility is by grain refinement. Austenitic stainless steels don't exhibit any transformation during hot deformation, so grain refinement can be achieved only by recrystallization. Using these processes, grain refinement is restricted to about 10 microns [1,2]. so, austenitic stainless steels are commonly subjected

Thursday, March 4, 2010

Neural Network Application

The design motivation is what distinguishes neural networks from other mathematical techniques: A neural network is a processing tool, either an algorithm, or actual hardware, whose design was motivated by the design & functioning of human brains & components thereof.

An Artificial Neural Network is a network of lots of simple processors ("units"), each possibly having a (little amount of) local memory. The units are connected by unidirectional communication channels ("connections"), which carryover numeric (as opposed to symbolic) information. The units operate only on their local information & on the inputs they get by the connections.

Wednesday, February 4, 2009

Artificial Neural Network


Artificial Neural Network is a system loosely modeled based on the human brain. The field goes by many names, such as connectionism, parallel distributed processing, neuro-computing, natural intelligent systems, machine learning algorithms, and artificial neural networks. It is an inherently multiprocessor-friendly architecture and without much modification, it goes beyond one or even two processors of the von Neumann architecture. It has ability to account for any functional dependency. The network discovers (learns, models) the nature of the dependency without needing to be prompted. No need to postulate a model, to amend it, etc.