https://github.com/Kalvar/ios-KRHebbian-Algorithm

Non-supervisor that Hebbian self-organization learning method in machine learning. (自分学習アルゴリズム).
https://github.com/Kalvar/ios-KRHebbian-Algorithm

Last synced: 24 days ago
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Non-supervisor that Hebbian self-organization learning method in machine learning. (自分学習アルゴリズム).

• Host: GitHub
• URL: https://github.com/Kalvar/ios-KRHebbian-Algorithm
• Owner: Kalvar
• License: other
• Created: 2013-06-11T19:01:21.000Z (almost 11 years ago)
• Default Branch: master
• Last Pushed: 2015-11-08T03:54:07.000Z (over 8 years ago)
• Last Synced: 2024-05-07T00:21:18.897Z (29 days ago)
• Language: Objective-C
• Homepage:
• Size: 223 KB
• Stars: 12
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Lists

• AI - KRHebbian-Algorithm - It is a non-supervisor and self-learning algorithm (adjust the weights) in the neural network of Machine Learning. **[Deprecated]** (Objective C / General-Purpose Machine Learning)
• awesome-machine-learning - KRHebbian-Algorithm - It is a non-supervisor and self-learning algorithm (adjust the weights) in neural network of Machine Learning. (Objective C / General-Purpose Machine Learning)
• awesome-machine-learning - KRHebbian-Algorithm - It is a non-supervisor and self-learning algorithm (adjust the weights) in neural network of Machine Learning. (Objective C / General-Purpose Machine Learning)
• awesome-machine-learning - KRHebbian-Algorithm - It is a non-supervisor and self-learning algorithm (adjust the weights) in the neural network of Machine Learning. **[Deprecated]** (Objective C / General-Purpose Machine Learning)
• awesome-machine-learning - KRHebbian-Algorithm - It is a non-supervisor and self-learning algorithm (adjust the weights) in neural network of Machine Learning. (Objective C / General-Purpose Machine Learning)
• awesome-machine-learnings - KRHebbian-Algorithm - It is a non-supervisor and self-learning algorithm (adjust the weights) in the neural network of Machine Learning. **[Deprecated]** (Objective C / General-Purpose Machine Learning)
• awesome-machine-learning-library - KRHebbian-Algorithm - It is a non-supervisor and self-learning algorithm (adjust the weights) in neural network of Machine Learning. (Objective C / General-Purpose Machine Learning)
• awesome-machine-learning - KRHebbian-Algorithm - It is a non-supervisor and self-learning algorithm (adjust the weights) in neural network of Machine Learning. (Objective C / General-Purpose Machine Learning)
• awesome-machine-learning - KRHebbian-Algorithm - It is a non-supervisor and self-learning algorithm (adjust the weights) in the neural network of Machine Learning. **[Deprecated]** (Objective C / General-Purpose Machine Learning)
• awesome-machine-learning - KRHebbian-Algorithm - It is a non-supervisor and self-learning algorithm (adjust the weights) in neural network of Machine Learning. (Objective C / General-Purpose Machine Learning)
• awesome-machine-learning - KRHebbian-Algorithm - It is a non-supervisor and self-learning algorithm (adjust the weights) in the neural network of Machine Learning. **[Deprecated]** (Objective C / General-Purpose Machine Learning)
• awesome-machine-learning - KRHebbian-Algorithm - It is a non-supervisor and self-learning algorithm (adjust the weights) in neural network of Machine Learning. **[Deprecated]** (Objective C / General-Purpose Machine Learning)
• awesome-machine-learning - KRHebbian-Algorithm - It is a non-supervisor and self-learning algorithm (adjust the weights) in neural network of Machine Learning. (Objective C / General-Purpose Machine Learning)
• awesome-machine-learning - KRHebbian-Algorithm - It is a non-supervisor and self-learning algorithm (adjust the weights) in neural network of Machine Learning. (Objective C / General-Purpose Machine Learning)
• awesome-machine-learning - KRHebbian-Algorithm - It is a non-supervisor and self-learning algorithm (adjust the weights) in neural network of Machine Learning. **[Deprecated]** (Objective C / General-Purpose Machine Learning)
• awesome-advanced-metering-infrastructure - KRHebbian-Algorithm - It is a non-supervisor and self-learning algorithm (adjust the weights) in neural network of Machine Learning. (Objective C / General-Purpose Machine Learning)
• awesome-machine-learning - KRHebbian-Algorithm - It is a non-supervisor and self-learning algorithm (adjust the weights) in neural network of Machine Learning. (Objective C / General-Purpose Machine Learning)
• awesome-machine-learning - KRHebbian-Algorithm - It is a non-supervisory and self-learning algorithm (adjust the weights) in the neural network of Machine Learning. **[Deprecated]** (Objective C / General-Purpose Machine Learning)
• awesome-machine-learning - KRHebbian-Algorithm - It is a non-supervisor and self-learning algorithm (adjust the weights) in neural network of Machine Learning. (Objective C / General-Purpose Machine Learning)
• awesome-machine-learning - KRHebbian-Algorithm - It is a non-supervisor and self-learning algorithm (adjust the weights) in neural network of Machine Learning. (Objective C / General-Purpose Machine Learning)
• awesome-machine-learning - KRHebbian-Algorithm - It is a non-supervisor and self-learning algorithm (adjust the weights) in neural network of Machine Learning. (Objective C / General-Purpose Machine Learning)

README

        
## About

KRHebbian implemented Hebbian algorithm that is a non-supervisor of self-organization algorithm of Machine Learning (自分学習アルゴリズム).

#### Podfile

```ruby

platform :ios, '7.0'

pod "KRHebbian", "~> 1.3.0"

```

## How To Get Started

#### Import

``` objective-c

#import "KRHebbian.h"

```

#### Sample

``` objective-c

KRHebbian *_hebbian     = [KRHebbian sharedAlgorithm];

_hebbian.activeFunction = KRHebbianActiveFunctionBySgn;  // Tanh() for [-1.0, 1.0], Sgn() for (-1, 1)

_hebbian.learningRate   = 1.0f;

_hebbian.maxIteration   = 1;

[_hebbian addPatterns:@[@0.0f, @1.5f, @-2.0f, @1.0f]];   // X1

[_hebbian addPatterns:@[@-1.5f, @-2.0f, @-0.5f, @1.0f]]; // X2

[_hebbian initializeWeights:@[@0.5f, @0.0f, @-1.0f, @1.0f]];

[_hebbian setTrainingIteraion:^(NSInteger iteration, NSArray *outputs, NSArray *weights) {

    NSLog(@"Training %li iteration = %@, outputs = %@", iteration, weights, outputs);

}];

[_hebbian trainingWithCompletion:^(BOOL success, NSArray *outputs, NSArray *weights, NSInteger totalIteration) {

    NSLog(@"Trained %li iteration = %@, outputs = %@", totalIteration, weights, outputs);

    // Start in verifying

    [_hebbian directOutputAtInputs:@[@-0.5f, @-1.0f, @-0.2f, @0.5f] completion:^(NSArray *outputs, NSArray *weights) {

        NSLog(@"Verified weights = %@, outputs = %@", weights, outputs);

    }];

}];

```

## Version

V1.3.0

## LICENSE

MIT.