By Kardi Teknomo, PhD.

About this Neural Network e-book

Is it possible to perform Neural Network in Excel with only spreadsheet without macro programming? The answer is YES. This tutorial will explain how to do it step by step.

in this tutorial we will not discuss most of these families of neural networks. We will only discuss feedforward network called Multi-Layer Perceptron.

We will start with the basic simplest neuron model, and then we will develop it into more and more complex network architecture. Through the work numerical examples, you will learn step by step how to use the existing neural network and then how to build your own neural network that can learn from examples using mere spreadsheet of Microsoft Excel, without macro programming. Indeed, this is unique tutorial is useful for people who want to learn neural network in a very fast way. The spreadsheet companion of this tutorial is available for download only for those who purchase the full version of this tutorial.

The author assumes the readers have no prior knowledge on data mining or neural network. The mathematics level has been down to high school or beginning of college level. There is no need to understand calculus and there is no programming. However, the author also assumes the readers know how to write formulas and how to use spreadsheet in Microsoft Excel. This is not Excel tutorial for beginners. In fact, after learning this book, you will appreciate how to use the spreadsheet in more powerful ways.

This ebook is unique! You cannot find this information of doing Neural Network only using Spreadsheet without programming anywhere else!


What is Neural Network?

Artificial Neural Network is a family of models that intended to mimic the neural cells in the brain. The unit processing element is a simple model called a neuron. Each neuron is basically a function that can receive many inputs and produces only one output. Combining many neurons into a network of neurons is what we called as Artificial Neural Network or simply Neural Network for short.

Depending on the network architecture, the non-linear function inside the neuron and the learning methods and its purposes, different name of neural network models was developed such as Multi-Layer Perceptron, Many ADaptive LInear Neuron (MADALINE), Radial Basis Function (RBF), Self-Organizing Map (SOM – Kohonen Map), Recurrent neural network (Jordan network), Adaptive Resonance Theory (ART), Winner takes all, Associative Memory (Hopfield Network) and many more. However, in this tutorial we will not discuss most of these families of neural networks. We will only discuss feedforward network called Multi-Layer Perceptron.


Why do you need to download this e-book and its companion files NOW?

  • Gain full understanding. This unique book is about your understanding about this fascinating topic.
  • Save your learning time. Your time is very valuable. It saves a lot of your time to do self study on this topic.
  • Understanding this topic will enhance your study, your work, and your research. Eventually you can develop it further to get more money for your future.
  • By purchasing the FULL tutorial, you will be able to read tutorial in a very nice PDF format without advertising. You can zoom in and out to see the formulas clearly. You can read in any computing device (phone, tablet, PC, laptop, Mac, iPad).
  • The full tutorial also comes in e-book together with the companion files. The spreadsheet tutorial will give you an eye opener to this fascinating topic. It enhances your understanding. The complete tutorial will be your self-study guide to improve your learning process. You can read it off-line anywhere anytime even when you don’t have internet connection.


What you will get when you download it NOW?

In this more than 40 pages Neural Network Tutorial e-book you will learn, you will learn the following fascinating topics in a very SHORT TIME:

  • What is Neural Network?Neural Network Tutorial
  • Why use Neural Network?
  • Limitation of Neural Network
  • Perceptron
  • Bias and Dummy Input
  • Boolean Logic using Perceptron
  • Input-Output Diagram of Perceptron
  • Building Perceptron using Spreadsheet
  • Training Perceptron
  • Advanced Training Perceptron using Spreadsheet
  • Multi-Layer Perceptron
  • Back Propagation Network
  • Training Back Propagation Network


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How to purchase this tutorial?

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