Examples of com.ansj.vec.domain.WordNeuron

com.ansj.vec.domain.WordNeuron

     * @param sentence
     * @param neu1 
     */
    private void skipGram(int index, List<WordNeuron> sentence, int b) {
        // TODO Auto-generated method stub
        WordNeuron word = sentence.get(index);
        int a, c = 0;
        for (a = b; a < window * 2 + 1 - b; a++) {
            if (a == window) {
                continue;
            }
            c = index - window + a;
            if (c < 0 || c >= sentence.size()) {
                continue;
            }


            double[] neu1e = new double[layerSize];//误差项
            //HIERARCHICAL SOFTMAX
            List<Neuron> neurons = word.neurons;
            WordNeuron we = sentence.get(c);
            for (int i = 0; i < neurons.size(); i++) {
                HiddenNeuron out = (HiddenNeuron) neurons.get(i);
                double f = 0;
                // Propagate hidden -> output
                for (int j = 0; j < layerSize; j++) {

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     * @param index
     * @param sentence
     * @param b
     */
    private void cbowGram(int index, List<WordNeuron> sentence, int b) {
        WordNeuron word = sentence.get(index);
        int a, c = 0;


        List<Neuron> neurons = word.neurons;
        double[] neu1e = new double[layerSize];//误差项
        double[] neu1 = new double[layerSize];//误差项
        WordNeuron last_word;


        for (a = b; a < window * 2 + 1 - b; a++)
            if (a != window) {
                c = index - window + a;
                if (c < 0)

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                    mc.add(string);
                }
            }
        }
        for (Entry<String, Integer> element : mc.get().entrySet()) {
            wordMap.put(element.getKey(), new WordNeuron(element.getKey(), element.getValue(),
                layerSize));
        }
    }

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com.ansj.vec.Learn

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